AI Training Data Specialist Jobs

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Utilize proprietary software to provide accurate input and labels for healthcare and administration projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving patient care coordination, medical billing, administrative workflows, and healthcare operations. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for healthcare and administration data. Select and analyze complex problems in healthcare and administration fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

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Utilize proprietary software to provide accurate input and labels for healthcare and administration projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving patient care coordination, medical billing, administrative workflows, and healthcare operations. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for healthcare and administration data. Select and analyze complex problems in healthcare and administration fields aligned with your expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

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Utilize proprietary software to provide accurate input and labels for healthcare and administration projects, ensuring high-quality data for AI model training. Deliver curated, high-quality data for scenarios involving patient care coordination, medical billing, administrative workflows, and healthcare operations. Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies. Assist in designing and improving efficient annotation tools tailored for healthcare and administration data. Select and analyze complex problems in healthcare and administration fields aligned with expertise to enhance AI model performance. Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

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Annotate images and video for object detection using bounding boxes, segmentation with polygons or masks, and classification. Assist in refining labeling schemas and class taxonomies as new edge cases arise. Write Python scripts to convert between annotation formats, validate label integrity, and generate dataset statistics. Perform quality assurance on labels and identify systematic errors or ambiguous cases. Conduct baseline YOLO training experiments to evaluate dataset quality and detect labeling gaps. Document conventions and decisions related to edge cases.

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Annotate images and video for object detection (bounding boxes), segmentation (polygons/masks), and classification. Help refine labeling schemas and class taxonomies as edge cases come up. Write Python scripts to convert between annotation formats, validate label integrity, and generate dataset statistics. QA labels and surface systematic errors or ambiguous cases. Run baseline YOLO training experiments to evaluate dataset quality and identify labeling gaps. Document conventions and edge-case decisions.

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Build realistic consulting project environments by creating detailed project scenarios grounded in real engagement dynamics, including industry context, financials, constraints, conflicting inputs, and incomplete information. Design structured consulting tasks for AI agents by breaking projects into discrete tasks that mirror real consulting work such as market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, and benchmarking. Define evaluation criteria and quality standards by developing grading frameworks, evaluation rubrics, and golden-answer solutions for each task, which are used to train and calibrate a large language model-based grading system that evaluates AI outputs at scale. This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.

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Build realistic consulting project environments by creating detailed project scenarios grounded in real engagement dynamics, including industry context, financials, constraints, conflicting inputs, and incomplete information. Design structured consulting tasks for AI agents by breaking projects into discrete tasks that mirror real consulting work such as market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, and benchmarking. Define evaluation criteria and quality standards by developing grading frameworks, evaluation rubrics, and golden-answer solutions for each task, which are used to train and calibrate a large language model (LLM)-based grading system that evaluates AI outputs at scale. Perform these responsibilities remotely as a project-based, individual contributor focused on analytical design and evaluation.

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Build realistic consulting project environments by creating detailed project scenarios grounded in real engagement dynamics, including industry context, financials, constraints, conflicting inputs, and incomplete information. Design structured consulting tasks for AI agents by breaking projects into discrete tasks that mirror real consulting work such as market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more. Define evaluation criteria and quality standards by developing grading frameworks, evaluation rubrics, and golden-answer solutions for each task, which are used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale. This role is remote, project-based, and focused on analytical design and evaluation as an individual contributor.

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As an AI Agent Assistant, collaborate with large language models (LLMs) that handle repetitive tasks, bringing nuance, judgment, and creativity to deliver high-quality results. Work alongside AI to shape and complete outputs to ensure they are accurate, reliable, and ready for real-world application. Tasks may include fact-checking scientific claims, curating datasets, conducting market research, and refining sales leads. Deliver well-reasoned, accurate, and clearly written outputs backed by credible sources. Conduct thorough web research to verify information and collect supporting evidence. Collaborate with LLMs and internal tools using them as copilots to complete complex tasks. Design and refine prompts to guide AI toward higher-quality results. Apply best practices for working with LLMs, understanding their strengths and limitations. Adapt quickly between diverse annotation, research, and analysis tasks while following detailed guidelines.

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Use proprietary software applications to provide input and labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives and technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from corporate accounting fields aligning with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses. Regularly interpret, analyze, and execute tasks based on given instructions. Participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions as fundamental parts of the role.