Summary: Looking for 5-8+ years of experienced recruiter to manage end-to-end hiring for US IT and Engineering roles . Must have strong knowledge of US work authorizations, tax terms, and compliance with proven ability to source and hire software, hardware, and engineering talent. Key Responsibilities: Full-cycle recruitment for IT (Java, .NET, Cloud, QA, DevOps, Data) and Engineering (Mechanical, Electrical, Civil, Manufacturing, Embedded) roles. Source candidates via Dice, Monster, CareerBuilder, LinkedIn Recruiter, and engineering-specific job boards. Screen candidates for technical skills, cultural fit, and US work status (H1-B, GC, USC, OPT, CPT, etc.). Negotiate pay rates for W2, C2C, 1099 . Manage ATS, VMS/MSP submissions, and onboarding paperwork. Work in US time zones and deliver on hiring metrics. Requirements: Bachelor’s degree (HR, Business, or Engineering). 5–8+ years recruiting for US IT & Engineering positions. Must be flexible working for engineering , healthcare and infrastructure roles. Familiarity with US immigration and compliance processes. Excellent sourcing, communication, and negotiation skills.
Minimum qualifications: Bachelor's degree in a relevant field, or equivalent practical experience. 10 years of experience in technical writing, instructional design, or a similar role, with a focus on creating instructions for human-in-the-loop tasks or rater platforms. Experience in task definition and instruction design principles and best practices. Experience with HTML, Python, Data analysis, Markdown, or version control systems (e.g., Git). Experience collaborating with stakeholders and translate requirements into clear, actionable instructions for the audience. Experience in developing and delivering training programs. Preferred qualifications: Advanced degree in Technical Communication, Instructional Design, Human-Computer Interaction, or a related field. Experience working with large-scale human evaluation platforms, crowdsourcing, or rater-based data collection programs. Experience designing tasks for complex domains. Experience with data analysis to inform instruction improvement. Familiarity with AI/ML concepts and data labeling processes. About the job Technical writers communicate complex information clearly, concisely and accurately, and without relying on jargon. As a technical writer, your role involves tasks such as writing conceptual overviews and procedures, reading and writing example code, or updating help center queries and FAQs. Technical writers play a big part in the HITL team. They are a key link between researchers, developers, and taskers tying together many vital but disparate parts of the data annotation ecosystem. You develop complex, in-depth communications for internal and external audiences and manage projects that involve coordinating multiple junior writers. As a Technical Writer, you will lead complex, multidisciplinary programs. You will plan requirements with internal customers and usher projects through the entire project life-cycle. Your projects often span offices, time zones and hemispheres, and you will keep all the players coordinated on the project's progress and deadlines. Responsibilities Lead the strategy and execution of task design and instruction creation for GenAI programs, establishing best practices and templates. Collaborate deeply with Product Areas to understand their data needs, define clear task requirements, and provide expert consultation on task design. Design, write, and iterate on high-quality rater instructions and guidelines that are clear, concise, and minimize ambiguity to ensure high-quality data output. Develop and implement an internal training program and comprehensive knowledge base on task design principles and best practices to empower Product Areas. Transform complex and often ambiguous technical information from engineers and researchers into effective rater task designs. Author, edit, and maintain a range of technical documents, including in-depth task design guides, instruction templates, and Quality Control (QC) rubrics. Act as a pilot user for new workflows, refining instructions based on practical application.
Key Responsibilities: Code Generation & Refinement: Directly write, evaluate, and rewrite code to solve complex, real-world problems. This is not just a management role; it is a critical hands-on position. Code Validation: Develop and implement sophisticated frameworks to rate and evaluate the quality of code responses generated by our models. This includes creating automated test suites and benchmarks. Code Quality and Efficiency: Analyze and improve the efficiency and correctness of both human-written and model-generated code. Cross-Functional Collaboration: Partner with research, engineering, and product teams to integrate feedback and drive improvements in code-centric models. Required Skills and Qualifications: Role: Tech Lead / Senior Software Engineer Experience: Proven track record (7 - 10+ years) of building and shipping complex software solutions. Languages (Priority): Python, Java, C, C++, JavaScript: Strong proficiency in at least one of these languages for evaluating and rewriting model-generated code in diverse environments. Code Evaluation: Experience in creating comprehensive test harnesses, evaluating code for correctness, efficiency, and security, and defining code quality metrics. GenAI Experience (Preferred): Familiarity with LLMs and the challenges of code generation, fine-tuning, and evaluation. Why This Role is Critical for Our Success: A Tech Lead with this specific skill set will be a force multiplier for our team. By combining coding proficiency with the ability to build evaluation frameworks, this individual will: Accelerate Development: Drastically reduce the time it takes to validate and refine code-generating models. Ensure Quality: Guarantee that the code produced by our models is robust, secure, and production-ready. Drive Innovation: Provide the deep technical insights needed to solve the most challenging and complex GenAI code use cases. Preferred skills: priority languages: Python, Java, C, C++, Javascript domain expertise: stem fields, data analysis / data science, data visualization other requirements: familiarity with web visualization platforms, data analysis libraries, SQL/databases, JSON, HTML, markdown. seniority: tech lead level - we are seeing increasing demand for smaller datasets with high complexity.
STEM Raters for GenAI Data Freelancing & Remote Part time (25 Hours a MUST) Role Overview As a STEM Rater for [Maths/Physics/Chemistry/Biology/Coding/Finance], you will be a crucial contributor to shaping the "brain" of our AI. Working closely with the STEM Lead and your team, your primary responsibility will be to meticulously create, review, and refine high-quality data. This involves evaluating AI responses for accuracy, clarity, and pedagogical effectiveness, ensuring they are insightful, well-structured, and tailored to the learner's level. You will apply your deep subject matter expertise to provide critical feedback that directly enhances the AI's ability to teach millions at scale through technology. Profile of the Ideal Candidate I. Core Responsibilities High-Quality Data Creation & Curation: Meticulously create and refine high-quality data, including detailed solutions, explanations, and step-by-step derivations for STEM problems across various difficulty levels. Ensure all content adheres strictly to established quality rubrics, style guides, and pedagogical standards, focusing on accuracy, clarity, and effectiveness. Integrate subject matter expertise to provide comprehensive and insightful explanations that anticipate common student misconceptions. AI Response Evaluation & Feedback: Rigorously evaluate AI-generated responses for correctness, coherence, pedagogical soundness, and adherence to specific instructions. Provide clear, constructive, and actionable feedback to the AI model, identifying errors, inaccuracies, or areas for improvement in its reasoning and presentation. Participate in creating "ground truth" solutions and evaluation datasets to benchmark AI model performance. Subject Matter Expertise Application: Apply deep knowledge in [Maths/Physics/Chemistry/Biology/Coding/Finance] to assess complex problems, verify solutions, and develop alternative approaches. Stay updated with advancements and common curriculum standards in your respective STEM field to ensure content relevance and accuracy. Collaboration & Workflow Adherence: Work closely with the STEM Lead and fellow raters to ensure consistency in data creation and evaluation processes. Adhere to established workflows, deadlines, and project requirements set by the STEM Lead. Communicate clearly about challenges encountered in data creation or AI evaluation to facilitate timely resolution. II. Required Qualifications & Experience Educational Background: A Master's degree (M.Sc./M.Tech) in [Maths/Physics/Chemistry/Biology/Coding/Finance] or a closely related field from a premier Tier-1 institution (e.g., IIT, BITS, NIT,IISER, IISc, TIFR, CMI, eminent central universities) is required. A Ph.D. is a plus. Demonstrable academic excellence is very important, either during the course or in a national level competitive examination at any level Deep Subject Expertise: Demonstrable, strong expertise across a wide range of topics within your subject, covering syllabi for competitive exams (e.g., JEE Mains & Advanced/NEET/GATE) and major undergraduate curricula. Excellent conceptual understanding with the ability to solve all Previous Years' Questions (PYQs) of JEE Advanced/NEET/GATE as well as generally tough undergraduate, graduate level problems in your subject. Teaching/Content Creation Experience: Proven experience (7+ years) in teaching, tutoring, content writing, or academic research in your specialized STEM field. Experience with competitive exam preparation is highly valued. Exceptional Communication Skills: Excellent written communication skills with the ability to explain complex concepts clearly, concisely, and accurately. III. Preferred Qualifications (The "Ideal" Candidate) Proven track record of producing top 100 rankers in JEE Advanced or NEET or GATE Content Development: Expertise in developing high-quality, original problems of JEE Advanced and/or Olympiad level and/or GATE. Experience authoring personal teaching materials, notes, and question banks is highly desirable Experience with AI/ML Feedback: Familiarity with providing structured feedback for AI models or large language models.
Job Description: Responsibilities: Model Quality Assessment: Evaluate the quality of AI model responses that include code, machine learning, AI, identifying errors, inefficiencies, and non-compliance with established standards. Code Annotation and Labeling: Accurately generate, annotate and label code snippets, algorithms, and technical documentation according to project-specific guidelines. Review and Feedback: Provide detailed, constructive feedback on model and other outputs Comparative Analysis: Compare multiple outputs and rank them based on criteria such as correctness, efficiency, readability, and adherence to programming best practices. Data Validation: Validate and correct datasets to ensure high-quality data for model training and evaluation. Collaboration: Work closely with data scientists and engineers to identify new annotation guidelines, resolve ambiguities, and contribute to the overall project strategy. Qualifications: Strong background in software engineering/development, computer science, ML/AI, or related technical field, with a keen eye for detail and a passion for data accuracy Programming Proficiency: Demonstrated expertise in: Python (must-have) and at least one or more common programming languages such as: JavaScript, Rust, Node.js, Typescript, C, C++, Shell (Bonus points) At least 1 or more less common programming languages such as: Rust, Shell, Go, Ruby, Swift, PHP, Kotlin Knowledge of web technologies & frameworks Web Scraping, API integration, HTML/CSS/JavaScript Web application development (e.g. Flask) Frontend (e.g. React) and backend (e.g. Node.js) development Machine Learning & Artificial Intelligence Machine Learning (General concepts, model development, experimentation, training, evaluation) Deep Learning (General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs, transformer architecture, LSTM) Natural Language Processing (NLP) Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero) Computer Vision (e.g., image processing, analysis, instance segmentation, OCR, deepfake detection) Game AI (Specific AI for intelligent opponents, understanding game states, actions, rewards) Data Science & Engineering Data Analysis & Manipulation (including Pandas, Matplotlib, Seaborn, NumPy, statistical analysis, general data processing, visualization libraries) Database Management (SQL, NoSQL, SQLite, data storage Algorithms & Mathematics Algorithms (General and specific like Monte Carlo Tree Search (MCTS), A* pathfinding, Sudoku solving, Collatz sequence, optimization, combinatorial problems) Software Engineering Practices & Tools Version Control (Git/GitHub) Coding Best Practices: A solid understanding of clean code principles, software design patterns, and debugging techniques. Attention to Detail: Meticulous attention to detail and the ability to follow complex, multi-step instructions precisely. Problem-Solving: Strong analytical and problem-solving skills to evaluate and troubleshoot complex coding solutions. Communication: Excellent written communication skills to provide clear, concise, and actionable feedback Proactiveness: Willingness to challenge the status quo to conduct a given task and achieve the end goal Preferred Qualifications: Experience with AI/ML concepts, particularly with large language models (LLMs) and code generation. Familiarity with various programming paradigms (e.g., object-oriented, functional). Experience with code review in a professional or academic setting. Experience in data annotation or similar quality assurance roles.
Primary Skill: ServiceNow, ITSM, ITOM, CMDB, integration, Discovery Secondary Skill: ITIL, Process Certification: CSA or ITOM 4+ years' hands-on experience designing, implementing, and managing ServiceNow Discovery, including ServiceNow Cloud Discovery ServiceNow Cloud Discovery experience should include Cloud Storage, Cloud Functions, Cloud APIs, Cloud Containers, etc. Experience developing, documenting, implementing, and maintaining ServiceNow Discovery governance processes, procedures, policies and related documentation Strong knowledge of IP Subnets to develop effective ServiceNow Discovery schedules Experience designing and implementing MID-Servers for ServiceNow Discovery Experience creating / updating ServiceNow Discovery IP ranges and schedules Experience must include knowledge of, and the ability to properly interpret and act on, CI IRE rules, discovery logs (e.g.: errors), patterns and probes (e.g.: debugging) ServiceNow CSA or ITOM certifications ServiceNow Discovery Fundamentals
Role Overview: You will be responsible for designing, implementing, and managing ServiceNow Discovery, with a focus on Cloud Discovery. Your expertise in ServiceNow Discovery governance processes, IP Subnets, MID-Servers, and CI IRE rules will be crucial in this role. Key Responsibilities: - Design, implement, and manage ServiceNow Discovery, including Cloud Discovery - Develop and maintain ServiceNow Discovery governance processes and related documentation - Utilize strong knowledge of IP Subnets to create effective ServiceNow Discovery schedules - Implement MID-Servers for ServiceNow Discovery - Update ServiceNow Discovery IP ranges and schedules - Properly interpret and act on CI IRE rules, discovery logs, patterns, and probes - Obtain ServiceNow CSA or ITOM certifications - Ensure adherence to ServiceNow Discovery Fundamentals Qualifications Required: - 4+ years of hands-on experience with ServiceNow Discovery - Proficiency in ServiceNow, ITSM, ITOM, CMDB, integration, and Discovery - Familiarity with ITIL and IT processes - Certification in CSA or ITOM Additional Details: N/A,
Primary Skill: ServiceNow, ITSM, ITOM, CMDB, integration, Discovery Secondary Skill: ITIL, Process 8+ years' hands-on experience designing, implementing, and managing ServiceNow Discovery, including ServiceNow Cloud Discovery ServiceNow Cloud Discovery experience should include Cloud Storage, Cloud Functions, Cloud APIs, Cloud Containers, etc. Experience developing, documenting, implementing, and maintaining ServiceNow Discovery governance processes, procedures, policies and related documentation Strong knowledge of IP Subnets to develop effective ServiceNow Discovery schedules Experience designing and implementing MID-Servers for ServiceNow Discovery Experience creating / updating ServiceNow Discovery IP ranges and schedules Experience must include knowledge of, and the ability to properly interpret and act on, CI IRE rules, discovery logs (e.g.: errors), patterns and probes (e.g.: debugging) ServiceNow CSA or ITOM certifications ServiceNow Discovery Fundamentals