Evaluate AI-generated data science deliverables, including exploratory analyses, statistical models, and machine learning pipelines, for technical quality and rigor.
Design precise grading criteria and provide detailed, evidence-based assessments to distinguish rigorous analysis from flawed work.
Apply your expertise in Python, SQL, and experimentation to improve the reliability and performance of AI systems.
Evaluate financial documents and reports to verify accuracy and provide AI training data.
Respond to AI prompts using financial expertise to teach models complex fiscal concepts.
Validate AI outputs against professional financial standards and provide expert feedback.
Prolific builds the world's largest pool of quality human data for AI training. Over 35,000 AI developers and researchers use Prolific, and the company focuses on ethically sourced, diverse human behavioral data.
Compare and rank AI-generated responses for accuracy, logic, and safety.
Review CS research papers alongside AI summaries to ensure scientific integrity.
Fact-check technical data and code for logical flaws and inaccuracies.
Prolific is building the largest pool of quality human data in the world, serving over 35,000 AI developers and researchers. They connect researchers with paid participants to gather high-quality, ethically sourced behavioral data for AI development.
Evaluate LLM architecture logic for technical accuracy and audit ML code and notebooks for efficiency.
Refine RLHF frameworks to align models with human intent and analyze model reasoning in complex chain-of-thought prompts.
Benchmark performance by conducting comparative testing between model outputs based on technical metrics.
Prolific connects researchers with a global pool of participants for collecting high-quality human data to train AI models. With over 35,000 users, they focus on ethical data gathering to advance AI capabilities.
Apply deep subject-matter expertise to AI model evaluation and large language model projects.
Develop challenging domain-specific problems and assess AI responses for accuracy and reasoning.
Collaborate with AI research teams to improve training datasets and evaluation methodologies.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It offers a remote, asynchronous work culture and uses AI tools to support recruitment.
You will rate and assess the performance of AI models based on their output or behavior.
You will label elements of content and assign predefined categories to generate training data.
You will create prompts, summaries, and evaluate relevance to improve AI system understanding.
Innodata (Nasdaq: INOD) is a global data engineering company that provides data, evaluation frameworks, and human expertise for AI systems. The company has a 36+ year legacy of delivering high-quality data and outstanding outcomes for customers.
Rating and assessing the performance of AI models based on their output or behavior.
Labeling and categorizing content to train machine learning models.
Generating prompts, responses, and summaries to improve language model reasoning.
Innodata is a global data engineering company that provides data, evaluation frameworks, and human expertise for AI systems. With over 36 years of experience, the company focuses on enabling responsible AI advancement.
Evaluate AI-generated documents, spreadsheets, and presentation decks against quality rubrics.
Identify factual, formatting, visual, and structural issues in professional deliverables.
Provide clear, structured feedback to enhance AI output quality and consistency.
This partner company specializes in AI training and evaluation, focusing on improving the quality of AI-generated professional content. Operating as a remote and asynchronous team, they value precision, collaboration, and independent work.
Review AI-generated responses to clinical scenarios for accuracy and safety.
Compare and justify the best responses among multiple model answers.
Write improved exemplars and structured feedback to enhance AI model learning.
Prolific is building the largest pool of quality human data in the world, used by over 35,000 AI developers and researchers. It is a platform that connects researchers with a global participant pool for ethically sourced human data.
Evaluate AI-generated JavaScript and TypeScript code for correctness and best practices.
Audit step-by-step explanations provided by AI for complex algorithmic solutions.
Execute model-generated scripts to verify performance and identify inefficiencies.
Prolific builds the largest pool of quality human data for AI development. Over 35,000 AI developers and researchers use the platform to gather data from paid participants with diverse experiences.
Evaluate model-generated content across multiple modalities including text, images, audio, and video.
Apply defined quality rubrics such as factuality, consistency, and aesthetics to assess outputs.
Conduct independent research on unfamiliar topics to make well-supported evaluation judgments.
Our client is a global technology company that helps businesses build, train, and manage AI systems. They offer flexible, remote work with variable workload and a focus on high-quality model evaluation.
Fact-check AI outputs for scientific accuracy and integrity.
Verify technical concepts using your neuroscience expertise.
Prolific is building the biggest pool of quality human data in the world, connecting AI developers, researchers, and organizations with paid study participants. With over 35,000 AI developers and researchers using the platform, it enables flexible, ethical data collection for AI training.
Research data collection strategies and design high-impact data slices that uncover model failure modes.
Model annotator behavior and design experiments to optimize instruction clarity and reward signal reliability.
Develop metrics and frameworks for evaluating dataset quality, diversity, and impact on downstream model alignment.
Surge AI builds a platform that powers the most powerful AI models in partnership with companies like Anthropic, Google, Microsoft, and Meta. They are a profitable, bootstrapped company focused on human intelligence and data quality.
Evaluate AI-generated documents and presentations against quality standards.
Apply humanities expertise to identify inaccuracies and cultural issues.
Provide structured feedback to improve AI model performance.
A partner company is seeking a humanities evaluator to assess AI-generated content for accuracy and quality. The company emphasizes cultural awareness and critical thinking in a remote, asynchronous work environment.
Teach core data science strategy, machine learning, and predictive modeling skills to clients.
Guide clients on data cleaning, preprocessing, data visualization, statistical analysis, and pipeline automation.
Offer career support including resume review, interview prep, and salary negotiation.
Leland connects people with experts and programs to achieve career and educational goals. Since 2021, they have helped tens of thousands of people and raised $19M from top investors, fostering a culture where ambition is sacred.
Review AI-generated responses against source images and quality guidelines.
Identify issues like hallucinations, missing details, or policy violations.
Provide structured feedback to improve model performance and output quality.
Jobgether uses AI-powered matching to connect candidates with partner companies. They focus on efficient, objective hiring processes and operate as a platform for remote opportunities.
Review search results and evaluate their relevance to user queries
Answer true/false questions about content quality
Rate search results based on guidelines to improve AI systems
Welo Data provides AI services and data validation to improve search engine and AI systems. They are a remote-first company with a focus on quality and support for their contractors.
Evaluate and rank model outputs, stress-test models for failure modes, and create high-quality datasets with detailed rubrics.
Annotate and correct multimodal data, maintain consistency through calibration exercises, and adapt to evolving task types.
Report on model performance trends and provide clear feedback to cross-functional partners on model successes and failures.
Cohere is a security-first enterprise AI company that builds cutting-edge foundation models and end-to-end products for real-world business problems. It is a global technology company with offices in Toronto, San Francisco, London, New York, Montreal, Seoul, Germany, and Paris, staffed by a team of passionate researchers, engineers, and designers.
Evaluate AI-generated data entries and records for accuracy, completeness, and consistency.
Simulate realistic data entry scenarios to test AI handling of messy inputs and edge cases.
Audit AI datasets for errors in categorization, labeling, and field mapping, ensuring quality standards.
Prolific is building the largest pool of quality human data in the world, serving over 35,000 AI developers, researchers, and organizations. We connect researchers with a global pool of participants to collect ethically sourced human behavioral data, fostering a culture of flexibility and remote work.
Review, evaluate, and annotate AI-generated content across text, images, audio, and video.
Perform quality checks to ensure accuracy, consistency, and compliance with project guidelines.
Identify edge cases and inconsistencies, contribute to high-quality dataset development, and participate in calibration activities.
Welo Data, part of Welocalize, is a global AI data company with over 500,000 contributors that provides high-quality, ethical data for training advanced AI systems. The company supports a diverse, global community across 100+ countries and offers project-based freelance opportunities with flexibility and growth potential.