3 Annotation Workflows Jobs

As a Technical Lead Manager (Applied AI Engineering), you will have the opportunity to lead a team of engineers and researchers while bridging advanced AI research with practical applications. You will be responsible for conducting in-depth studies, running proof-of-concept projects, and applying cutting-edge AI technologies to drive innovation. Your role involves collaborating with product and engineering teams, mentoring the AI team, establishing rapid experimentation processes, and championing a customer-centric approach. Key Responsibilities: - Lead advanced AI research and innovation through in-depth studies and proof-of-concept projects. - Address challenging technical problems and own the costs associated with serving AI models. - Translate complex product requirements into actionable technical tasks and ensure seamless integration of AI solutions. - Mentor and guide the AI team, fostering excellence and continuous learning. - Establish processes for rapid experimentation and iterative development of innovative ideas. - Work closely with customer-facing teams to gather insights and tailor AI solutions to actual business needs. Skills We Look For: - Strong background in AI research, with a passion for applying advanced techniques to real-world problems. - Leadership capability with a hands-on approach to research and development. - Exceptional problem-solving skills and ability to tackle complex technical challenges. - Excellent communication and collaboration skills with a cross-functional mindset. - Experience in fast-paced, dynamic environments, preferably in early-stage startups. - Proven track record of building successful applications powered by Large Language Models. - Customer-first mindset with a commitment to understanding and addressing customer needs through innovative AI solutions. In addition to a challenging and rewarding role, we offer a competitive compensation and benefits package, professional growth opportunities, and a collaborative and innovative work environment.,

As a VP/AVP AV/ADAS Delivery at iMerit, you will be leading the delivery organization supporting autonomous vehicle and ADAS clients. Your role will involve ensuring delivery excellence across a portfolio of enterprise clients by maintaining consistent quality, scalability, and efficiency of operations. Here is a breakdown of your key responsibilities: - **Delivery Leadership & Client Management:** - Own delivery for a portfolio of enterprise clients in AV/ADAS programs. - Drive robust delivery governance including QBRs, client health reviews, RCA/CPA, and CSAT improvement plans. - Establish SLA frameworks and ensure adherence across clusters. - Act as a strategic escalation point and lead issue resolution. - **Multi-Account Oversight:** - Supervise concurrent delivery across 36 large enterprise accounts. - Ensure optimization of resource allocation, schedule adherence, productivity, and profitability across all accounts. - Maintain a balance between portfolio-wide visibility and periodic account-level immersion. - **Operational Excellence:** - Define and drive KPIs for quality, turnaround time, throughput, and cost of delivery. - Collaborate with WFM, L&D, Tech, and QA for integrated delivery planning and optimization. - Cultivate a culture of continuous improvement, automation, and reuse of delivery accelerators. - **Team Leadership & Talent Development:** - Lead a matrixed team of 300-800 labelers, reviewers, specialists, and managers through Cluster/Sub-cluster heads. - Identify high-potential leaders, enable succession planning, and career progression. - Align team structure with business demand cycles and client commitments. - **Solutioning and Innovation Enablement:** - Work with Solutions and Pre-sales teams on client RFPs, PoCs, and pilots. - Stay updated on trends in multi-sensor data annotation, synthetic data, and ML-assisted labeling. - Drive pilot-to-production transitions and institutionalize best practices. In terms of qualifications, the key requirements for this role include: - 15+ years in AI/ML Data Services/Digital Operations, with 5+ years in AV/ADAS delivery. - Previous experience managing multiple concurrent enterprise accounts. - Deep understanding of annotation workflows, tools, and quality frameworks. - Proven experience in managing large-scale teams with a cluster or business unit structure. - Strong client-facing presence with stakeholder management experience. Additionally, exposure to Generative AI applications in AV/ADAS, experience with automation-led delivery transformation, and familiarity with security standards like ISO27001 and SOC2 would be advantageous. Your success in this role will be measured by metrics such as Client Satisfaction (CSAT > 95%), Delivery Quality (Accuracy %, Rework %, SLA Adherence), Financial Metrics (Utilization %, Margin %, Revenue per FTE), People Metrics (Attrition %, Internal Mobility %, Bench %), and Operational Efficiency (Automation %, Productivity Index).,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,