1433 Annotation Jobs - Page 9

Job Title: BIM Engineer - Revit Job Description We are seeking a highly skilled BIM Engineer who is proficient in Revit and other essential design software. The ideal candidate will have a comprehensive understanding of BIM procedures, strategies, and workflows, and will be able to apply this knowledge to integrate telecommunications system components with building design. Responsibilities Utilize Revit, AutoCAD, and BIM360 to create and manage digital models. Develop plans, sections, and elevations using Revit. Create and modify family types including nested, system, and adaptive families. Apply view templates, documentation, and annotation skills to enhance project presentations. Integrate telecommunications system components with building designs. Use and modify Dynamo scripts to improve workflow efficiency. Essential Skills Proficient in the latest version of Revit. Experienced with AutoCAD and BIM360. Strong understanding of BIM procedures and workflows. Ability to create detailed plans, sections, and elevations. Familiarity with family creation including nested, system, and adaptive families. Additional Skills & Qualifications Experience with Navisworks and Bluebeam is advantageous. Knowledge of Dynamo and ability to modify scripts. Experience in Scan to BIM processes. Work Environment The work environment involves using advanced design software including Revit, AutoCAD, and BIM360. The role requires attention to detail and the ability to work collaboratively with a team to integrate various system components into building designs. Diversity, Equity & Inclusion At Actalent, Diversity And Inclusion Are a Bridge Towards The Equity And Success Of Our People. DE&I Is Embedded Into Our Culture Through Hiring diverse talent Maintaining an inclusive environment through persistent self-reflection Building a culture of care, engagement, and recognition with clear outcomes Ensuring growth opportunities for our people Actalent is an equal opportunity employer. About Actalent Actalent is a global leader in engineering and sciences services. For more than 40 years, we’ve helped visionary companies advance their goals. Headquartered in the United States, our teams span 150 offices across North America, EMEA, and APAC—with four delivery centers in India led by 1,000+ extraordinary employees who connect their passion with purpose every day. Our Bangalore, Hyderabad, Pune, and Chennai delivery centers are hubs of engineering expertise, with core capabilities in mechanical and electrical engineering, systems and software, and manufacturing engineering. Our teams deliver work across multiple industries including transportation, consumer and industrial products, and life sciences. We serve more than 4,500 clients, including many Fortune 500 brands. Learn more about how we can work together at actalentservices.com.

Job Title: Python Developer Experience Required: 3-5 Years Location: Remote Employment Type: Full-Time Role Overview: This role is for high-caliber backend engineer with deep proficiency in Python and a proven track record of building large systems at speed. This role focuses on implementing real-world services (e.g., Gmail, Jira) as modular APIs using a test-driven approach, with an emphasis on engineering excellence, crisp documentation, and robust database design. Please note: this is a software engineering role, not one in data annotation, data science, or analytics. What does day-to-day look like: Implementing real-world services as modular, production-ready APIs Creating and maintaining excellent, developer-friendly documentation Following a strict Test Driven Development approach — tests first, code second Building at maximum velocity without compromising on reliability or maintainability Designing and iterating on scalable database schemas for each service integration Requirements: 3+ years of experience with practical, production-grade Python Hands-on experience with Test Driven Development (TDD) Proven ability to build and scale large systems at high velocity Strong fundamentals in database schema design and data modeling Able to work at a rapid pace without sacrificing clarity or correctness [Bonus] Familiarity with LLM function calling protocols and paradigms

Position : Machine Vision & Imaging AI Engineer Location : THub Hyderabad Company : Meridian Data Labs Type : Full-time | On-site Experience : 2–6 years (flexible for the right candidate) About Us Meridian Data Labs is a deep-tech startup working at the intersection of computer vision, AI/ML, and edge computing . We design and build cutting-edge imaging systems and AI solutions for defense, aerospace, and industrial clients. Our work spans robotics, video analytics, inspection systems, and 3D reconstruction. Role Overview We are seeking a hands-on engineer with strong expertise in Machine Vision and AI/ML for Image and Video Processing . You will help develop high-performance vision systems that combine precise hardware with intelligent software for real-world applications. Key Responsibilities Machine Vision Design and integrate camera systems (industrial, stereo, depth, thermal, etc.) Select and configure lenses, lighting setups (structured, backlight, coaxial, etc.) Interface with frame grabbers, image acquisition libraries (e.g., GenICam, Spinnaker, etc.) Calibrate vision systems (intrinsic/extrinsic, multi-camera setups) Work closely with hardware and robotics teams for vision system integration AI/ML for Imaging and Video Develop deep learning models for object detection, segmentation, classification Build pipelines for image/video preprocessing, augmentation, and real-time inference Work on 3D reconstruction from stereo, multi-view, or structured light data Implement and optimize models for deployment on edge devices (NVIDIA Jetson, etc.) Collaborate on dataset creation, annotation, and model validation Required Skills & Qualifications B.E./B.Tech or M.S./M.Tech in Computer Science, ECE, Robotics, or related fields Strong knowledge of computer vision and imaging fundamentals Experience with OpenCV, PyTorch/TensorFlow, and image processing libraries Experience with industrial cameras (e.g., Basler, FLIR), lighting systems, and lenses Understanding of camera interfaces (USB3, GigE, MIPI, etc.) Hands-on experience in AI model training, deployment, and tuning for real-world data Bonus (Good to Have) Exposure to robotics and automation systems Experience in real-time video analytics or embedded systems Experience with 3D data (point clouds, photogrammetry, stereo vision) Familiarity with frameworks like ROS, NVIDIA DeepStream, Open3D, etc. What We Offer Opportunity to work on high-impact, mission-critical systems Cross-disciplinary learning in hardware-software integration Fast-paced startup environment with real ownership Work with cutting-edge tech in defense and aerospace domains To Apply : Send your resume and portfolio (if available) to somesh@meridiandatalabs.com

Description Whenever a customer visits Amazon and types in a query or browses through product categories, Amazon Search services go to work. Search Ops team helps Search services in providing a better customer search experience by delivering quality data annotation to help improve AI/ML models driving these services. Our vision is to create business value by delivering high quality data at scale. We look to provide easy and scalable labeling solution to support search that are high quality, cost efficient, and secure. Our vision is to enable improvement in the search experience for our customers, by accurately determining labels for products targeted by the search queries received. We collaborate closely with several machine learning (ML) applied science teams that develop and test ML models to improve the quality of semantic matching, ranking, computer vision, image processing, and augmented reality. To support our vision, we need exceptionally talented, bright, and driven people. Duties will include ensuring that standards for productivity and quality assurance are met by your team, taking part in planning, organizing and directing the work of subordinates or others, outline procedures and instructions on work received, make time estimates on new jobs received, ensuring utilization of team is high, mentor and train new/existing team members. If you have what it takes then this is your chance to work hard, have fun, and make history. Key job responsibilities Responsibilities As a Team Manager, ML Data Ops, you will be responsible for meeting operational and business goals by leading a team of 10 to 15 associates having expertise in one or more processes/functions and proficient in languages other than English. You will also be a driving initiative across sites for process improvements, SoP and guidelines formulation, diving deep to provide data insights as and when required. Your key responsibilities will include (but not limited to) the below: Executes and makes plans to deliver business metrics, and uses data to set/revisit operational goals and manage activities Manages escalations; analyzes data; highlights trends, gaps, etc.; and reports key metrics Prepares data in business meetings/reviews and presents to senior managers and stakeholders Plans capacity and commits to volume by managing resources, queue, shift management, cross training, and leave management Owns and prioritizes work allocation based on business needs with a daily/monthly frequency Owns the output quality of the process managed Performs deep-dive analysis and creates COEs (Correction of Error) based on the deviation, problem, root cause, and solutions Initiates and leads process improvement projects, presents solution proposals, and implements them to other applicable/in- scope operational areas Participates and provides adequate support in business reviews with mid-level and senior leadership Participates in new- process onboarding, i.e., new process/ experiments with complete documentation Participates in or owns modules of solution- building in business process setup, operations front-line setup, cross-functional process activity, tool-build documentation, etc. Demonstrates understanding of performance and leadership bar, applies it effectively to team members and to new hiring decisions Builds robust launch plans for new team members & owns progress tracking of new joiners through administration of launch plans as a mechanism Provides regular coaching and feedback to direct reports Devises and implements performance improvement plans for associates as applicable Identifies and works with top performers for talent development and creates a leadership pipeline for own level Willingness to work with sensitive issues, including but not limited to: Adult content, Religious and philosophically sensitive issues, tobacco, weapons and other potentially offensive products Basic Qualifications Graduate degree in any discipline 4-6 years’ work experience with at least 1 year in managing people directly Demonstrated high attention to detail and proven ability to manage multiple competing priorities simultaneously Well versed in employee development and performance management skills and strategies including performance reviews, goal setting, and providing feedback Ability to work cross-functionally and with employees across teams with different skill sets Proven ability to report and analyze data. Confident in using Microsoft Package (especially Excel at Intermediate to Advanced level) Confident to work with large volumes of data Demonstrated ability to initiate and drive process improvements Preferred Qualifications Experience in e-commerce, retail or advertising Working knowledge of Machine learning Certified or Green belt trained in Lean Six Sigma Familiarity with tools like QuickSight and Tableau Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka - A66 Job ID: A2899238

Job description Take sketches and initial architectural designs created by the Principal, Project Manager, or Supervisor and create hard-liner drawings from them in Revit and AutoCAD. Should know Google sketch up, Enscape, & Lumion, 3D Walkthrough will be an added advantage. Create photorealistic renderings in Revit to express design ideas to project stakeholders. Accurately measure and then draw existing field conditions in Revit and AutoCAD. Assist in the creation of various materials for client presentations. Assist in the completion of document packages as part of project milestone submissions. Qualifications for this position include: Bachelor's Degree/Diploma in Architecture/Interior designing with 1-3 years' experience working in an Architectural office or related field. Strong proficiency in Revit is a necessity, including the use of all 3D modelling tools and 2D annotation tools. Applicants must be comfortable Job Type: Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Provident Fund Education: Bachelor's (Preferred) Experience: 5S: 2 years (Preferred) Location: Bengaluru, Karnataka (Required) Work Location: In person

Key Responsibilities: Annotate images, videos, audio, or text data using internal tools. Ensure high accuracy and consistency in labeling based on defined guidelines. Review and correct annotations performed by other team members as part of quality control. Collaborate with data scientists and engineers to improve annotation processes. Provide feedback on tools and guidelines to enhance efficiency and model performance. Requirements: Bachelor's degree in any Science discipline (e.g., B.Sc, B.Tech, BCA). Strong attention to detail and ability to work with repetitive tasks. Basic understanding of AI/ML concepts is a plus. Familiarity with annotation tools and basic computer skills. Good communication and teamwork skills. Job Types: Full-time, Fresher Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Ability to commute/relocate: Bangalore, Karnataka: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: MS Office: 1 year (Preferred) Data entry: 1 year (Required) Work Location: In person

Description As a key member of our team, you will support our product development teams with insights gained from analyzing company data with respect to potential opportunities for product and process optimization. You must have strong experience using a variety of data mining/data analysis methods. The Senior Data Scientist II will lead data modeling and machine learning projects using a variety of data tools, modeling approaches and algorithms. You will also design experiments to evaluate models by conducting AB testing and simulations. Key Responsibilities Able to translate product design requirements into pipeline of heuristic and stochastic algorithms Understand exploratory data analysis for product feasibility studies and ground truth testing Execute SQL queries and/or python scripts to manipulate, analyze and visualize data Able to implement explainable AI solutions and rationalize model inferences Follows SDLC processes, Adopt agile-based processes/meetings and peer code-reviews Works with Machine learning engineer/architect to deploy data products into production Follows and understands legal data use restrictions Contributes to algorithm library development and design for ML, NLP and XAI Delivers product pipelines for deployment to production Builds applications that integrate third party and self-hosted foundation models. Fine tunes open source foundation models (LLMs, VLMs) with proprietary data Develops autonomous AI inference and tool use orchestration using ReAct AI agents Provides root cause analysis for machine learning model inference Completes data analysis or processing tasks as directed Documents data product end to end design and development Data annotation, labeling and other related data generation activities Provides thought leadership for rest of team and seeks out opportunities to mentor more junior team members Presents and holds data product updates and trainings Updates team on data product performance Education & Experience Strong problem solving skills with an emphasis on product development. 6+ years of experience developing data science products Strong experience using and optimizing common python machine and deep learning libraries such as Scikit learn, PyTorch, TensorFlow, Keras, MXNet and Spark MLlib Experience using statistical computer languages (Python, R, Scala, SQL, etc.) to manipulate data and draw insights from large data sets. Hands-on generative AI development Experience using foundation models (LLMs, VLMs) Experience with model fine tuning of open source foundation models with proprietary data Experience leveraging AI metrics for monitoring and value tracking Knowledge of AI Agent frameworks with recent hands-on experience building an AI agent able to autonomously use data stores, tools and other AI models to solve inquiries. Deep knowledge of data science concepts and related product development lifecycle Experience using machine learning libraries such as TensorFlow, Keras, SparkML etc. Working knowledge of machine learning tuning optimization procedures Experience working with and creating data architectures. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Preferred Experience with big data analytical frameworks such as Spark/PySpark Experience analyzing data from 3rd party providers: Google Knowledge Graph, Wikidata, etc. Experience visualizing/presenting data for stakeholders using: Looker, PowerBI, Tableau, etc.

Title: UI Code Review Consultant (React, CSS, HTML, Figma, Design Systems, AI models (LLMs)) REMOTE Our UX Design SaaS client released a beta version of a new tool/server that is the standard for how applications provide context to LLMs. Until recently, the only way to provide design context to AI tools was to feed an image of a design or an API response to a chatbot. This has changed with the recent advent of this new tool/protocol, which allows developers to bring context into agentic coding tools like Copilot in VS Code, Cursor, Windsurf, and Claude Code. Whether it’s creating new atomic components with the proper variables and stylings or building out multi-layer application flows, they believe this server/tool will provide a more efficient and accurate design-to-code workflow. MUSTS: -Strong UI Code review experience (React, Typescript, CSS, HTML) -Comfortable navigating and interpreting Design Systems documentation and Storybooks (e.g., https://storybook.js.org/) -Able to understand and work with Figma designs for UI implementation and annotation alignment.

Millennium IMS Pvt Ltd is on the lookout for experienced Python professionals to join as Freelance Code Reviewers for a pioneering AI/LLM project. You will audit Python code evaluations submitted by data annotators assessing AI-generated code — playing a key role in improving the quality of large language models through high-quality human feedback . 🚀 Highlights 💼 FREELANCE – Work as per your availability ⏰ Flexible work hours – ideal for working professionals 🏠 100% Remote – work from the comfort of your home 💸 Hourly payouts – get paid for the hours you contribute 🌐 Contribute to cutting-edge AI projects 1500 INR to 1800 INR per/hour 🔧 Responsibilities Review and audit Python code evaluations submitted by annotators. Check for code correctness, security, and adherence to prompt instructions. Use Docker and code execution tools to validate functionality (when applicable). Identify and flag inaccurate feedback or scoring by annotators. Provide clear, concise, and constructive written feedback. Ensure compliance with Project Atlas standards and evaluation guidelines. ✅ Required Qualifications 5 to 10 years of experience in Python development, code review, or QA. Expert-level understanding of Python syntax, edge cases, testing, and debugging. Hands-on experience with Docker and isolated code execution environments. Excellent written communication for detailed feedback reports. Prior experience with structured QA or annotation review workflows. English proficiency at B2, C1, C2, or Native level. ✨ Preferred Skills Experience with LLM model evaluation or Reinforcement Learning from Human Feedback (RLHF) . Familiarity with annotation tools or platforms. Ability to review and run code in varied, containerized environments.

Note : This is a contract-based, fully remote opportunity. Payments are made based on actual hours worked. No paid leaves or benefits are included. The contractor must handle their own taxes and compliances. Job Overview We are seeking an experienced Senior Python Engineer to help build and maintain production-grade systems powered by Large Language Models (LLMs). This is a pure software engineering role focused on backend architecture, API design, and intelligent system orchestration — not data science, annotation, or analytics. You’ll be developing LLM-integrated systems using modern frameworks like LangChain or LangGraph, helping design scalable backend services that support AI agent functionality and intelligent workflows. Key Responsibilities Design and implement robust backend services and production APIs using Python Build and maintain LLM-powered systems, including RAG pipelines, agent workflows, and orchestration layers Integrate LLMs (e.g., OpenAI, Anthropic) into scalable services using frameworks like LangChain, LangGraph, or similar Collaborate with cross-functional teams to ensure maintainability, observability, and performance in production systems Write clean, testable, and well-documented code for long-term scalability Must-Have Skills 5+ years of experience as a backend or full-stack engineer (backend-focused) Strong proficiency in Python and API/service architecture Hands-on experience integrating LLMs into backend workflows Familiarity with LangChain, LangGraph, RAG pipelines, or similar frameworks Experience with production deployment, service scaling, and observability tools Clear communication skills and ability to thrive in distributed teams

Note : This is a contract-based, fully remote opportunity. Payments are made based on actual hours worked. No paid leaves or benefits are included. The contractor must handle their own taxes and compliances. Job Overview We are seeking an experienced Senior Python Engineer to help build and maintain production-grade systems powered by Large Language Models (LLMs). This is a pure software engineering role focused on backend architecture, API design, and intelligent system orchestration — not data science, annotation, or analytics. You’ll be developing LLM-integrated systems using modern frameworks like LangChain or LangGraph, helping design scalable backend services that support AI agent functionality and intelligent workflows. Key Responsibilities Design and implement robust backend services and production APIs using Python Build and maintain LLM-powered systems, including RAG pipelines, agent workflows, and orchestration layers Integrate LLMs (e.g., OpenAI, Anthropic) into scalable services using frameworks like LangChain, LangGraph, or similar Collaborate with cross-functional teams to ensure maintainability, observability, and performance in production systems Write clean, testable, and well-documented code for long-term scalability Must-Have Skills 5+ years of experience as a backend or full-stack engineer (backend-focused) Strong proficiency in Python and API/service architecture Hands-on experience integrating LLMs into backend workflows Familiarity with LangChain, LangGraph, RAG pipelines, or similar frameworks Experience with production deployment, service scaling, and observability tools Clear communication skills and ability to thrive in distributed teams

Responsibilities: Assist senior modelers in creating Revit models and 2D sheets. Perform redline markups, basic family creation and sheet setups. Handle model cleanup, level alignment and annotation tasks. Qualifications: B.E./ B.Tech or Diploma in Civil, Mechanical, or Architecture. 1–3 years of Revit experience (internship can be considered). Basic understanding of building systems and BIM workflows. Willing to learn and adapt quickly. Job Types: Full-time, Permanent, Fresher

Position Overview We are looking for a dynamic and results-driven Engagement Manager / Delivery Manager with a strong Computer Science foundation, a proven track record of leading large-scale delivery teams, and a client-first approach. In this role, you will oversee the successful execution of complex projects by managing end-to-end delivery, aligning cross-functional stakeholders, and upholding the highest standards of data quality and operational excellence. The ideal candidate has a Tier-1 engineering background (IITs/NITs/BITS or equivalent), strong leadership experience managing teams of 30 to 100+ members, fluency in Python, and exceptional communication and analytical skills. Experience in fast-paced environments such as high-growth startups or consulting firms is highly desirable. Key Responsibilities Project Delivery & Client Management Own end-to-end delivery of client engagements across multiple workflows and domains. Drive project planning, execution, risk management, and retrospective analysis. Act as the primary point of contact for clients — translating evolving requirements into actionable plans. Collaborate with internal program managers, engineers, and QA leads to ensure seamless execution and alignment. Team Leadership & Workstream Management Lead cross-functional teams of 30–100+ professionals, including project managers, QA leads, and annotators. Define team structures, monitor workloads, and optimize efficiency through data-driven dashboards and performance metrics. Foster a high-performance culture through mentorship, role clarity, and continuous feedback. Scale teams rapidly to meet fluctuating project demands, including recruitment and onboarding initiatives. Operational Excellence & Quality Assurance Own and evolve Standard Operating Procedures (SOPs), SLA adherence, and delivery improvements. Monitor and improve KPIs such as AHT, throughput, quality scores, and defect rates. Identify bottlenecks and deploy technical/process improvements to mitigate them. Partner with cross-functional teams to implement automation, improve tooling, and standardize workflows. Technical Engagement & Analytical Thinking Work hands-on with Python-based tools, automation scripts, and annotation platforms. Analyze large datasets to develop and monitor quality frameworks. Collaborate with engineers and data scientists to define metrics and calibration processes. Solve ambiguous operational challenges using first-principles thinking and structured experimentation. Must-Have Qualifications Bachelor’s degree in Computer Science or related field from a Tier-1 engineering institute (IITs, BITS, NITs preferred). 5–8 years of experience in project delivery, operations, or client services. Demonstrated experience managing large, diverse teams (70–100+) or multi-layered vendor teams. Proficiency in Python; working knowledge of JavaScript is a plus. Excellent written and verbal communication skills with strong client-facing presence. Proven ability to define scalable workflows, maintain SLAs, and operate under tight deadlines. Strong analytical, organizational, and problem-solving capabilities in high-ambiguity settings. Preferred Qualifications Master’s degree or MBA from a top business school (IIMs, ISB, or equivalent). Experience in consulting, AI/ML operations, or high-growth product/startup environments. Familiarity with Agile methodologies, sprint planning, and operational tooling.

JOB DESCRIPTION About Times Internet At Times Internet, we create premium digital products that simplify and enhance the lives of millions. As India’s largest digital products company, we have a significant presence across a wide range of categories, including News, Sports, Fintech, and Enterprise solutions. Our portfolio features market-leading and iconic brands such as TOI, ET, NBT, Cricbuzz, Times Prime, Times Card, Indiatimes, Whatshot, Abound, Willow TV, Techgig and Times Mobile among many more. Each of these products is crafted to enrich your experiences and bring you closer to your interests and aspirations. As an equal opportunity employer, Times Internet strongly promotes inclusivity and diversity. We are proud to have achieved overall gender pay parity in 2018, verified by an independent audit conducted by Aon Hewitt. We are driven by the excitement of new possibilities and are committed to bringing innovative products, ideas, and technologies to help people make the most of every day. Join us and take us to the next level! About the Business Unit (across Colombia) Colombia is a contextual AI-driven AdTech platform that revolutionizes digital advertising with cutting-edge technology. By utilizing advanced machine learning and AI, Colombia delivers highly targeted and personalized ad experiences, ensuring optimal engagement and performance. Our platform seamlessly integrates with publishers and advertisers, offering robust solutions for display, video, and native advertising. With over 650 million unique users monthly, Colombia leverages data-driven insights to provide unmatched reach and engagement. As part of India’s largest premium content network, we ensure high-quality user interaction and engagement. With over 15 billion recommendations per month & 650 Mn + unique users, we guarantee massive audience reach. Utilizing AI & ML models for lookalike audience creation, bid prediction, and contextual targeting, Colombia enhances campaign effectiveness and user engagement. Our AI-powered user segmentation and article annotation streamline processes, delivering more accurate and relevant user experiences. Experience the future of advertising with Colombia. About the Role: We are looking for a skilled Associate Developer to support our operations across ad platforms, reporting pipelines, and performance dashboards. This is a versatile technical role involving API integrations, crawler development, and automation of Operations & reporting flows across platforms like Google Ad Manager (GAM), Looker Studio, Google Analytics, and custom data sources. The ideal candidate is someone who can think like a developer and act like a problem-solver—comfortable writing python script that scales, automates, and simplifies recurring tasks across our ad operations and analytics processes. Key Responsibilities Develop Python scripts and tools for automating reports, monitoring KPIs, and fetching campaign data from various platforms. Write and maintain web crawlers to fetch information from web pages and ad delivery endpoints. Create data pipelines that process, store, and sync data with Google Sheets, BigQuery, Dashboards, and internal tools. Automate performance dashboards, blending data from multiple sources using APIs or Apps Script. Debug and resolve API errors or data discrepancies in reports. Implement scheduling and error-handling mechanisms for daily/weekly tasks using tools like cron, Airflow, or custom schedulers. Work closely with internal stakeholders to understand campaign KPIs and deliver automated insights. Skills & Requirements Strong programming skills in Python (mandatory). Proficiency in API integrations and handling REST, SOAP, or GraphQL APIs. Hands-on experience with data manipulation libraries and Google APIs (Sheets, Drive, Gmail). Familiarity with web scraping tools. Ability to write modular, reusable, and well-documented scripts. Strong troubleshooting skills and attention to detail. Good to have Experience with Google Apps Script for spreadsheet and email automation. Exposure to SQL, BigQuery, or other cloud databases. Knowledge of cron jobs, Linux-based scripting, or CI/CD pipelines. Familiarity with ad tech KPIs: CPM, CTR, viewability, IVT, pacing, etc.

Work Type: Contractor | Permanent Remote Experience Required: 5 – 8 Years Contract Duration: 3 Months Notice Period: Max 2 week Note: This is a contract-based, fully remote opportunity. Payments are made based on actual hours worked. No paid leaves or benefits are included. The contractor must handle their own taxes and compliances. Job Overview We are seeking an experienced Senior Python Engineer to help build and maintain production-grade systems powered by Large Language Models (LLMs). This is a pure software engineering role focused on backend architecture, API design, and intelligent system orchestration — not data science, annotation, or analytics. You’ll be developing LLM-integrated systems using modern frameworks like LangChain or LangGraph, helping design scalable backend services that support AI agent functionality and intelligent workflows. Key Responsibilities Design and implement robust backend services and production APIs using Python Build and maintain LLM-powered systems, including RAG pipelines, agent workflows, and orchestration layers Integrate LLMs (e.g., OpenAI, Anthropic) into scalable services using frameworks like LangChain, LangGraph, or similar Collaborate with cross-functional teams to ensure maintainability, observability, and performance in production systems Write clean, testable, and well-documented code for long-term scalability Must-Have Skills 5+ years of experience as a backend or full-stack engineer (backend-focused) Strong proficiency in Python and API/service architecture Hands-on experience integrating LLMs into backend workflows Familiarity with LangChain, LangGraph, RAG pipelines, or similar frameworks Experience with production deployment, service scaling, and observability tools Clear communication skills and ability to thrive in distributed teams

About the Role We’re seeking an experienced Senior Code Reviewer with deep Python expertise to review evaluations of AI-generated code responses. You’ll ensure annotation teams maintain high standards for instruction-following, correctness, and functionality in AI training datasets. Key Responsibilities ● Review and audit annotator evaluations of AI-generated Python code ● Validate code functionality, security, and best practices across multiple programming languages. Languages ● Execute proof-of-work methodology using Docker-based environments ● Provide constructive feedback to maintain annotation quality standards ● Work within established guidelines for evaluation consistency Required Qualifications ● Minimum 4+ years in Python development, QA, or code review ● Strong Python expertise, including syntax, debugging, and testing ● Docker proficiency for environment isolation and testing ● Excellent written communication and documentation skills ● Experience with structured QA or annotation workflows Preferred Qualifications ● Experience in AI training, LLM evaluation, or model alignment ● Familiarity with RLHF pipelines and annotation platforms ● Advanced Docker knowledge for complex environment replication Why Join Us? ● Work at the intersection of AI and software development ● Remote-first culture with flexible arrangements ● Competitive hourly compensation ● Early-stage pipeline project with long-term potential Application Process Two-Stage Assessment: Technical Task (60 minutes) – Coding assessment with recorded responses Technical Interview (25 minutes) – Only for candidates who pass the task Requirements ● Individual candidate engagement model with managed oversight ● Early submission with competitive rates preferred ● Multiple coding languages required (list provided separately) ● Available for immediate start upon project finalization Ready to shape the future of AI? Apply now and become our Senior Code Reviewer! – https://forms.gle/qq8iMdYNNnNJeEK3A Job Category: Developer Job Type: Freelance Job Location: Remote

Work Type: Contractor | Permanent Remote Experience Required: 5 – 8 Years Contract Duration: 3 Months Notice Period: Max 2 week Note: This is a contract-based, fully remote opportunity. Payments are made based on actual hours worked. No paid leaves or benefits are included. The contractor must handle their own taxes and compliances. Job Overview We are seeking an experienced Senior Python Engineer to help build and maintain production-grade systems powered by Large Language Models (LLMs). This is a pure software engineering role focused on backend architecture, API design, and intelligent system orchestration — not data science, annotation, or analytics. You’ll be developing LLM-integrated systems using modern frameworks like LangChain or LangGraph, helping design scalable backend services that support AI agent functionality and intelligent workflows. Key Responsibilities Design and implement robust backend services and production APIs using Python Build and maintain LLM-powered systems, including RAG pipelines, agent workflows, and orchestration layers Integrate LLMs (e.g., OpenAI, Anthropic) into scalable services using frameworks like LangChain, LangGraph, or similar Collaborate with cross-functional teams to ensure maintainability, observability, and performance in production systems Write clean, testable, and well-documented code for long-term scalability Must-Have Skills 5+ years of experience as a backend or full-stack engineer (backend-focused) Strong proficiency in Python and API/service architecture Hands-on experience integrating LLMs into backend workflows Familiarity with LangChain, LangGraph, RAG pipelines, or similar frameworks Experience with production deployment, service scaling, and observability tools Clear communication skills and ability to thrive in distributed teams

Introducing Thinkproject Platform Pioneering a new era and offering a cohesive alternative to the fragmented landscape of construction software, Thinkproject seamlessly integrates the most extensive portfolio of mature solutions with an innovative platform, providing unparalleled features, integrations, user experiences, and synergies. By combining information management expertise and in-depth knowledge of the building, infrastructure, and energy industries, Thinkproject empowers customers to efficiently deliver, operate, regenerate, and dispose of their built assets across their entire lifecycle through a Connected Data Ecosystem. We are seeking a hands-on Applied Machine Learning Engineer to join our team and lead the development of ML-driven insights from historical data in our contracts management, assets management and common data platform. This individual will work closely with our data engineering and product teams to design, develop, and deploy scalable machine learning models that can parse, learn from, and generate value from both structured and unstructured contract data. You will use BigQuery and its ML capabilities (including SQL and Python integrations) to prototype and productionize models across a variety of NLP and predictive analytics use cases. Your work will be critical in enhancing our platform’s intelligence layer, including search, classification, recommendations, and risk detection. What your day will look like Key Responsibilities Model Development: Design and implement machine learning models using structured and unstructured historical contract data to support intelligent document search, clause classification, metadata extraction, and contract risk scoring. BigQuery ML Integration: Build, train, and deploy ML models directly within BigQuery using SQL and/or Python, leveraging native GCP tools (e.g., Vertex AI, Dataflow, Pub/Sub). Data Preprocessing & Feature Engineering: Clean, enrich, and transform raw data (e.g., legal clauses, metadata, audit trails) into model-ready features using scalable and efficient pipelines. Model Evaluation & Experimentation: Conduct experiments, model validation, A/B testing, and iterate based on precision, recall, F1-score, RMSE, etc. Deployment & Monitoring: Operationalize models in production environments with monitoring, retraining pipelines, and CI/CD best practices for ML (MLOps). Collaboration: Work cross-functionally with data engineers, product managers, legal domain experts, and frontend teams to align ML solutions with product needs. What you need to fulfill the role Skills And Experience Education: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. ML Expertise: Strong applied knowledge of supervised and unsupervised learning, classification, regression, clustering, feature engineering, and model evaluation. NLP Experience: Hands-on experience working with textual data, especially in NLP use cases like entity extraction, classification, and summarization. GCP & BigQuery: Proficiency with Google Cloud Platform, especially BigQuery and BigQuery ML; comfort querying large-scale datasets and integrating with external ML tooling. Programming: Proficient in Python and SQL; familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, Keras. MLOps Knowledge: Experience with model deployment, monitoring, versioning, and ML CI/CD best practices. Data Engineering Alignment: Comfortable working with data pipelines and tools like Apache Beam, Dataflow, Cloud Composer, and pub/sub systems. Version Control: Strong Git skills and experience collaborating in Agile teams. Preferred Qualifications Experience working with contractual or legal text datasets. Familiarity with document management systems, annotation tools, or enterprise collaboration platforms. Exposure to Vertex AI, LangChain, RAG-based retrieval, or embedding models for Gen AI use cases. Comfortable working in a fast-paced, iterative environment with changing priorities. What we offer Lunch 'n' Learn Sessions I Women's Network I LGBTQIA+ Network I Coffee Chat Roulette I Free English Lessons I Thinkproject Academy I Social Events I Volunteering Activities I Open Forum with Leadership Team (Tp Café) I Hybrid working I Unlimited learning We are a passionate bunch here. To join Thinkproject is to shape what our company becomes. We take feedback from our staff very seriously and give them the tools they need to help us create our fantastic culture of mutual respect. We believe that investing in our staff is crucial to the success of our business. Your contact: Mehal Mehta Please submit your application, including salary expectations and potential date of entry, by submitting the form on the next page. Working at thinkproject.com - think career. think ahead.

You will be working as a computational linguist in Pashan, Pune on a full-time contractual basis. The ideal candidate should have an MA in Linguistics/Applied Linguistics with First Class or Equivalent Grade from a UGC-Approved Reputable University, or an MPhil/PhD in Linguistics/Applied Linguistics with formal training in Computational Linguistics. Research publications in NLP, Semantics/Lexicology, or Discourse Studies are highly desirable. Your skill sets should include proficiency in Hindi and other Indian/foreign languages, linguistic typing, and dataset/lexicon creation. Experience in NLP Tagging, Annotation, and ML-labelled data entry is required. Familiarity with Ontologies, PoS taggers, NER, and other language processing tools (English/Hindi/Other Indian Languages) is expected. Hands-on experience in tools such as Protg, Excel, Word, and other NLP annotation platforms will be beneficial. Your responsibilities will include Lexicon Testing & Creation. You should be capable of creating Lexical Entries in English and Hindi using Microsoft Office tools and NLP software. Collaboration within teams and proactive engagement in AI & NLP learning environments is essential. Additionally, you will contribute to ML-labelled data creation and domain-specific dataset development.,

Job Description Job Title: Account Executive Department: Account Management Location: India (Hybrid or On-site) Reports To: Senior Account Executive / Account Manager About The Organization We are a leading Indian language services company delivering multilingual communication solutions such as translation, transcription, interpretation, subtitling, voice-over, dubbing, desktop publishing, and linguistic data for AI/ML training in 250+ global languages. Our clients include MNCs, startups, e-commerce giants, education companies, law firms, healthcare providers, and AI developers. Role Overview As an Account Executive, you’ll be at the forefront of the company’s revenue generation and client success efforts. You will actively prospect for new clients, conduct product and service pitches, and work collaboratively with internal teams to deliver tailored linguistic solutions. Your primary goal is to meet and exceed your monthly revenue target, which is 20x your monthly CTC, by generating new business and nurturing qualified leads. Primary Responsibilities Generate and qualify new business leads through outbound cold calling, email marketing, and social media outreach. Build strong relationships with potential and existing clients by understanding their specific linguistic needs. Present customized solutions for services like translation, voice-over, data annotation, and subtitling. Prepare commercial proposals, presentations, and quotations. Maintain a high standard of documentation using CRM tools including client logs, notes, next steps, and proposal statuses. Coordinate with the project team to ensure timely and high-quality delivery of client projects. Track ongoing project progress, client escalations, and CSAT performance to ensure full-cycle client engagement. Follow up diligently for collections and close payment within the stipulated 60-day period. Actively participate in trade shows, networking events, and digital webinars (when applicable). Keep yourself updated with industry trends, competitive offerings, and the company’s full portfolio of solutions. What You’ll Achieve Deliver individual sales revenue equal to 20x your monthly CTC consistently. Maintain a lead conversion rate of at least 40% on qualified leads from the marketing team. Ensure every project has a minimum 50% profit margin. Strengthen retention by delivering a consistent, responsive client servicing experience. Achieve an average CSAT score of 8.5+ out of 10 from your client portfolio. Maintain 100% CRM update compliance with no missed client touchpoints. Required Competencies Strong communication, negotiation, and storytelling skills. Natural inclination toward sales conversations and client engagement. High degree of accountability, accuracy, and responsiveness. Proficient in using CRMs, Microsoft Office Suite, LinkedIn, and email automation tools. Ability to understand and explain linguistic workflows and service offerings. Career Growth Path A successful Account Executive can advance to a Senior Account Executive in 12–18 months, with a wider client portfolio, increased responsibilities in negotiation and retention, and higher revenue targets. Compensation & Perks ₹4.8 LPA – ₹6.5 LPA salary package Lucrative monthly and quarterly incentives Upskilling opportunities with paid certifications and industry webinars Access to internal sales masterclasses Health insurance and performance bonus Key Skills B2B Communication, Sales Pitching & Consultative Selling, Negotiation & Objection Handling, CRM & Pipeline Management, Industry Knowledge & Domain Adaptability, Client Centricity & Service Orientation, Time & Priority Management Apply now

Position: & Simulation Tirage Engineer Work Location: Work from Office / Remote Type: Full-time Shift: Flexible to work in shifts, including night shifts on client request Communication Skills Requirement: Minimum CEFR B2 level of English Technical Skills Requirement: LiDAR L3 About the Role (Position Summary) This role requires a strong combination of technical expertise in AV sensor data (especially LiDAR and camera), meticulous attention to annotation quality, and hands-on experience in simulation data triage. The ideal candidate will work on identifying errors, inconsistencies, and gaps in annotated datasets and simulation scenes, supporting the retraining and validation cycles of autonomous vehicle (AV) systems. Education Qualifications Bachelor's degree in Engineering, Computer Applications, Data Science, or related technical discipline. Experience 3–7 years of experience in annotation, simulation validation, or auditing roles with increasing leadership responsibility. Strong background in LiDAR and sensor data (2D/3D bounding boxes, polygons, cuboids, segmentation). Experience in simulation scenario review and tirage pipelines (e.g., triaging data for model retraining). Prior exposure to client interaction and cross-functional coordination (e.g., with engineering and QA teams). Hands-on experience working in tool-based labeling pipelines and simulation-driven testing environments. Experience working with annotation tools and QA checklists based on project-specific SOPs. Capacity of data analysis towards identifying consistent gaps Desired Qualifications and Experience (if any) Auditor-Specific Soft Skills Exceptional attention to detail: Ability to notice minute annotation errors, shape irregularities, and alignment mismatches. Strong visual-spatial reasoning: Capability to interpret 3D point clouds and assess object depth, perspective, occlusion, and context. Critical thinking: Skill in evaluating edge cases and understanding when annotations fail to represent real-world driving scenarios accurately. Strong ability of pattern recognition Annotation guideline interpretation: Ability to deeply understand, question, and apply detailed project-specific SOPs and edge-case rules. Bias awareness: Understand and flag biases in annotation or scene interpretation (e.g., object labeling errors due to weather, occlusion, or human assumptions). Clear written communication: Document audit findings, feedback, and edge cases in structured and unambiguous formats. Consistency under repetition: Maintain high focus and precision while reviewing large datasets with repetitive structures. Curiosity and domain awareness: Stay engaged with AV trends, annotation standards (e.g., KITTI, nuScenes), and common model failure patterns. Collaboration mindset: Willingness to work closely with fellow auditors, QA teams, and simulation engineers to improve annotation and tirage workflows. Technical Skill Requirements Annotation Auditing & Data QA Annotate and/or Audit 2D/3D sensor data annotations to ensure they meet the project’s accuracy, completeness, and consistency requirements. Identify common error types and provide actionable feedback. Simulation Tirage Evaluate simulation data for complexity, relevance, and anomalies. Tag and classify scenes based on criticality for model training or validation pipelines. Clear understanding of road sign and rules from a driver's perspective with capacity of (given) situation analysis Rules of the Road Expertise: Familiarity with standard traffic behavior, signage, signaling, right-of-way principles, and vehicle interactions under typical U.S. driving conditions. MUTCD Knowledge: Working knowledge of the Manual on Uniform Traffic Control Devices (MUTCD), especially as it applies to lane markings, signage, and signal interpretation across varied roadway types. Passenger Comfort Sensitivity: Ability to assess scenarios from the perspective of a rider, identifying discomfort or unsafe behaviors that may not violate technical rules but still degrade the end-user experience. Driver Duty of Care Perspective: Ability to evaluate edge cases and ambiguous situations through the lens of a responsible human driver, balancing legality with caution and accountability in mixed-traffic environments. Tool & Workflow Expertise Operate advanced tools such as Labelbox, Scale AI, Supervisely, CVAT, CARLA, or in-house labeling systems. Suggest refinements in annotation and tirage flows to reduce ambiguity and improve cycle efficiency. Documentation & Reporting Maintain issue logs and generate structured audit reports. Provide detailed scene-level comments to support iterative data improvements. Responsibilities (not limited to) Conduct systematic reviews of AV sensor annotations using defined QA guidelines. Perform simulation scene triage to identify edge-case scenarios and misclassified outcomes. Tag errors, provide audit-level feedback, and ensure data is looped back for correction or retraining. Collaborate with QA reviewers, annotation operators, and simulation engineers. Contribute to refinement of SOPs and visual reference materials based on audit insights. Stay current with industry annotation standards and simulation evaluation protocols.

Now Hiring: Senior Code Reviewer (Python + Docker) | LLM Data Training 📍 Remote | Contract 🧠 Focus: Code Review, AI Evaluation, Python, Docker 🚀 Project: Atlas – High-Quality Data for AI Are you passionate about Python and excited by the future of AI? We’re looking for a Senior Code Reviewer to help ensure the quality and integrity of data used to train large language models (LLMs). 💼 About the Role As a Senior Code Reviewer, you’ll review evaluations made by data annotators assessing AI-generated Python code. Your mission: ensure that the evaluations adhere to strict standards around functionality, instruction-following, and factual accuracy. You’ll work within a fast-moving team, using your technical expertise to help shape the training data that powers cutting-edge AI systems. 🔧 What You'll Do Audit and review annotator evaluations of Python code generated by AI. Confirm that code is functional, accurate, and follows the given instructions. Validate technical correctness using hands-on proof-of-work — including execution in Docker environments. Flag and correct inconsistencies or errors in annotator feedback. Provide constructive guidance to annotators to uphold quality standards. Follow strict evaluation protocols as defined by Project Atlas . ✅ Required Qualifications 5–7+ years in Python development, QA, or code review roles. Strong understanding of Python syntax, testing, debugging, and edge cases. Proficient with Docker for code execution and environment replication. Comfortable working in structured QA or annotation workflows. Excellent written communication skills. English proficiency at B2+ level or higher. ⭐ Preferred Experience Familiarity with LLM evaluation, AI training data, or RLHF workflows. Hands-on experience with annotation platforms or structured data review pipelines. Understanding of model alignment and evaluation techniques in AI. Interested candidates kindly share resumes on shikha@digifocal.in

We're Hiring – Data Annotation Project Lead (Automotive Domain) Location: Hyderabad Work Schedule: 6 days/week Team Size: 150 members Are you experienced in vehicle/automotive image labeling and passionate about leading large-scale data annotation teams? We’re looking for a dynamic professional with: Proven experience in data annotation projects (preferably in the automotive domain) Strong team management skills, handling teams of 100+ members Excellent client communication and handling capabilities Ability to ensure quality, consistency, and timely delivery across large teams Join us to work on cutting-edge AI training data for the automotive industry! #HiringNow #DataAnnotation #ImageLabeling #AutomotiveAI #TeamLeadJobs #HyderabadJobs #AIProjects #ComputerVision #AnnotationJobs #ClientHandling #ProjectManagement #RoboclickInfotech #DigitalCareers Job Types: Full-time, Permanent, Fresher, Internship Schedule: Day shift Morning shift Work Location: In person

As a Business Analyst & Data Annotator, you will play a crucial role in gathering and analyzing business requirements, acting as a bridge between stakeholder needs and technical teams. You will also handle the data annotation process, ensuring the production of high-quality, accurately labeled datasets necessary for training machine learning models. This role involves close collaboration with ML engineers, data scientists, and business teams to ensure that data aligns with project goals. Your work will center on translating complex business needs and technical specifications into clear instructions, managing data labeling workflows, and maintaining data quality standards. Responsibilities: Develop and implement detailed guidelines and instructions for data labeling and annotation to ensure consistency and accuracy across datasets; Review and validate labeled data, providing constructive feedback to annotation teams to improve data quality and adherence to project standards; Collaborate with data scientists and ML engineers to prepare, organize, and support the creation of high-quality annotated datasets for model training; Manage the annotation workflow, prioritize tasks, and track progress to ensure timely delivery of labeled data; Maintain high standards of data privacy, security, and compliance throughout all annotation processes; Gather and analyze business requirements, workflows, and terminology to understand data needs and improve annotation processes; Facilitate communication between technical teams and stakeholders by translating complex technical or domain-specific language into clear, accessible instructions and explanations; Offer insights into business processes that could benefit from automation or ML solutions, supporting the design and implementation of such projects; Support continuous improvement of data annotation guidelines, workflows, and overall business analysis practices to enhance efficiency and data quality. Requirements: At least 1 year of experience in the relevant role; Excellent English language skills (B2 level or higher, ideally C1), especially when working with reports containing complex terminology; Strong analytical skills and an understanding of business workflows; Attention to detail and ability to create clear instructions and guidelines for annotation teams; Understanding of data privacy, security standards, and compliance requirements. Nice to Have: Basic knowledge of machine learning concepts and data management principles; Familiarity with ML workflows, data pipelines, and MLOps tools; Experience with cloud platforms such as AWS, GCP, or Azure; Experience with data labeling or annotation; Experience in creating markups for AI; Insurance industry background.

We are looking for immediate joiner for below position Senior Java Developer Location – Pune / Hyderabad Exp – 7 to 10 Years Fulltime Primary skills – Java , Spring boot , Microservices , Rest API , NO SQL or SQL , Any Cloud exp Job Description: We are seeking a Senior Java Developer with extensive experience in Java and Sprint Boot development. The ideal candidate will have a strong background in designing, developing, and maintaining Java applications. You will be responsible for writing high-quality code, troubleshooting issues, and collaborating with cross-functional teams. Responsibilities: Design, develop, and maintain Java applications. Write clean, efficient, and well-documented code. Troubleshoot and resolve technical issues. Collaborate with cross-functional teams to define requirements and deliverables. Participate in code reviews and provide constructive feedback. Stay updated with the latest Java technologies and best practices. Qualifications: 7+ years of experience in Java development. Strong knowledge of Java frameworks and libraries. Excellent problem-solving and debugging skills. Good communication and teamwork skills. Skillset Java concepts: Multithreading, Java 8 features, design pattern Springboot /Spring framework: Rest API Design and implementation, Spring data frame work spring ORM frame work, Bean lifecycle, annotation usage, dependency injection, filters, Controller Advice Spring security framework: Authentication & Authorisation Database: Any SQL and NoSQL DB Microservices: design patterns like SAGA, API gateway, event driven architecture Cloud platform: hands on cloud service provider like AWS, Azure etc Ability to work in a fast-paced and dynamic environment.