Review and improve AI-generated health scenarios to ensure they are realistic and safe. Identify weak constraints and upgrade tasks to better represent real-world care-seeking moments.
Remote Jobs & Work From Home Opportunities (226,214)
Review and improve realistic financial scenarios used to train AI financial assistants. Identify critical constraints and rewrite tasks to ensure the AI model can handle high-stakes, real-world client situations.
Review and improve real-world legal scenarios used to train AI assistants. Identify flawed reasoning, jurisdictional inaccuracies, and procedural gaps to upgrade the quality of legal judgment tests.
Review and improve real-world marketing scenarios used to train AI planning assistants in an educational context. Break down campaign challenges, map decision trees, and justify strategic decisions with concrete data.
Review and improve real-world nutrition scenarios to train AI planning assistants in clinical and educational contexts. Break down dietary challenges, map decision trees, and justify clinical decisions with concrete data.
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Review and improve real-world clinical scenarios to train AI planning assistants acting as nutrition tutors. Break down dietary challenges, map decision trees, and justify evidence-based reasoning for students and healthcare professionals.
Design and execute post-training experiments on frontier LLMs using SFT and preference-based methods. Translate raw annotation artifacts into training datasets and develop new reward signals to improve model performance.
Review and audit responses produced by human annotators to ensure high data quality standards. Identify AI-generated content and ensure tasks adhere to established guidelines and evaluation criteria.
Safety Project | Emotional Distress Clinical Specialist (Role-Play & Evaluation)
Vetto
·
Full Time
·
5 Weeks Ago
Vetto
Perform role-play as a clinically informed persona to test AI responses to emotional distress and suicidal ideation. Evaluate AI outputs based on clinical rigor, safety awareness, and adherence to evidence-based crisis-response practices.
Perform as a role-play actor in multi-turn conversations with an AI to simulate emotional distress and high-risk scenarios. Maintain a predefined persona consistently to help evaluate the AI's empathy and safety responses.
Review real-world case scenarios to assess sales processes and diagnosing skills. Provide expert feedback as a Shopping Expert for specific projects.
Review and validate AI-generated code and associated test suites to ensure technical correctness and alignment with prompts. Identify gaps, ambiguities, and false positives in test suites to act as a technical quality gate.
Review and improve realistic travel scenarios to train AI travel assistants by identifying feasibility constraints. Rate the quality of tasks and rewrite scenarios to include decisive constraints that test the model's accuracy.
Review and improve real-world wellness scenarios used to train AI wellness assistants. Identify risks, contraindications, and decision trade-offs to upgrade weak scenarios and test professional judgment.
Account Executive, Sales and Partnership Services (Pac-12 Integrated Partnerships)
Playfly Sports
·
Full Time
·
5 Weeks Ago
Playfly Sports
The Account Executive is responsible for pitching and closing enterprise partnership agreements to generate incremental sponsorship revenue. They also manage day-to-day operations, contract deliverables, and media components for the sports properties.
Lead new logo acquisition for the Enterprise AI Business Unit by driving pipeline and closing high-value enterprise deals. Build executive relationships with CxOs to position Innodata's AI implementation and operationalization services.
The role involves rating, labeling, and ranking AI model outputs to improve the reasoning and language capabilities of LLMs. Responsibilities include creating prompts, generating training data, and rewriting text for clarity and adherence to guidelines.
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The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for machine learning.
The role involves rating AI model performance, labeling data, and creating prompts to improve the reasoning and language capabilities of LLMs. Responsibilities also include generating training data through text transformation, summarization, and translation.
The specialist will rate AI model performance, label content, and create training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating prompts to train large language models. Responsibilities also include generating training data through text transformation, summarization, and translation.
The role involves rating AI model performance, labeling content, and creating training data through prompts and text transformations. Responsibilities also include rewriting text for clarity and converting audio or language content to improve LLM reasoning.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language skills. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
The role involves rating AI model performance, labeling content, and creating prompts to improve LLM reasoning and language capabilities. Responsibilities also include generating training data through text transformation, summarization, and translation.
The role involves rating AI model performance, labeling content, and creating training data to improve LLM reasoning and language capabilities. Responsibilities include generating prompts, rewriting text for clarity, and compiling diverse datasets for model fine-tuning.
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The role involves rating AI model performance, labeling content, and creating training data through prompts and text transformations. Responsibilities also include rewriting text for clarity and converting audio or language to improve LLM reasoning and quality.
Own and scale the paid media engine across channels like Google, LinkedIn, and Meta to drive qualified pipeline. Build an AI-augmented operating system to accelerate creative testing, audience research, and performance analysis.
Design and build interactive web applications while maintaining product features for reliability and performance. Collaborate with agile teams to develop technical specifications and deploy software using AI tools to increase efficiency.
The Senior UX/UI Designer will lead the end-to-end design process to create intuitive digital experiences that align user needs with business goals. This includes developing wireframes, maintaining design systems, and collaborating with cross-functional teams to deliver pixel-perfect designs.
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