We’re looking for music professionals with formal music education and hands-on experience in performance, production, or audio engineering to help evaluate and improve AI-generated audio data. Flexible hours across a 2-day project window Earn up to ~$150–$160 with a full push across both days ~15-minute qualifying test before onboarding
Compensation: $100-$150/hour, please provide a specific hourly rate expectation Availability: 20-40 hours/week, with at least 6 hours of Pacific Time overlap/day Main tasks listed: Design, refine, and iterate on rubrics and evaluation criteria for preference data; Review and label data with a high quality bar, catching subtle issues others might overlook; Build and maintain pipelines and infrastructure supporting data generation, collection, and evaluation workflows; Synthesize findings from data work into clear write-ups, updates, and recommendations for the team.
We are seeking an experienced Dermatologist to help evaluate and enhance large language model (LLM) outputs in the medical domain. You’ll assess AI-generated clinical content for dermatological accuracy, safety, and relevance — contributing to the development of responsible AI in healthcare. We are seeking India-based dermatologists to review dermatology images using a structured online evaluation tool. Main tasks listed: Review AI-generated medical text for accuracy, harmfulness, and completeness, with focus on dermatology; Evaluate diagnoses, treatment plans, and summaries for dermatologic cases; Provide expert feedback to improve medical integrity and safety of LLM outputs; Collaborate with AI researchers and clinicians to align model performance with evidence-based dermatology standards. The listing says the work can involve sensitive or graphic content.
We are looking for talented Illustrators, Sketchers, Cartoonists, Digital Artists, and Concept Artists who can create high-quality artwork from reference images while introducing creative variations and maintaining the character’s identity. This opportunity is open to interns, freshers, emerging artists, and experienced professionals with strong visual skills and a portfolio that demonstrates creativity, versatility, and attention to detail. Main tasks listed: Create digital character illustrations and sketches using provided reference images; Produce creative variations while maintaining character identity and visual consistency; Apply core fundamentals of composition, color, lighting, perspective, and proportion; Adapt artwork across diverse visual themes based on project requirements.
We are seeking an experienced Dermatologist to help evaluate and enhance large language model (LLM) outputs in the medical domain. You’ll assess AI-generated clinical content for dermatological accuracy, safety, and relevance — contributing to the development of responsible AI in healthcare. We are seeking US-based dermatologists to review dermatology images using a structured online evaluation tool. Main tasks listed: Review AI-generated medical text for accuracy, harmfulness, and completeness, with focus on dermatology; Evaluate diagnoses, treatment plans, and summaries for dermatologic cases; Provide expert feedback to improve medical integrity and safety of LLM outputs; Collaborate with AI researchers and clinicians to align model performance with evidence-based dermatology standards. The listing says the work can involve sensitive or graphic content.
We are looking for candidates with strong analytical and comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large content into smaller logical blocks, conduct research online, validate claims made in the content through online research, and work with the LLM (Large Language Models) to solve puzzles! Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better analyst. Main tasks listed: You would spend time answering a variety of interesting analytical questions and creating scenarios that can train the LLM models to get better. Here are a couple of examples which models might get wrong and you would have to give the correct answer and explanation to enable the models to learn:; Based on a given distribution of sales by month across locations, could you analyze which location has grown the most? (Hint: what time period should we look at? should we account for sudden variability at the beginning?); In a small town, there are four distinct neighborhoods: Oak, Pine, Maple, and Elm. A postman is assigned to deliver mail and can only deliver to two neighborhoods in one day, with certain rules (e.g. Oak is always visited before Pine). If he delivers to Oak and Elm on the first day, which neighborhoods does the carrier deliver to on the second day?; Note: No other prior specialized domain experience is needed.
We are looking for candidates with strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large content into smaller logical blocks, conduct research online, validate claims made in the content through online research, and work with the LLM (Large Language Models) to solve puzzles! Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better… Main tasks listed: You would spend time answering a variety of interesting analytical questions and creating scenarios that can train the LLM models to get better. Here are a couple of examples which models might get wrong and you would have to give the correct answer and explanation to enable the models to learn:; Based on a given distribution of sales by month across locations, could you analyze which location has grown the most? (Hint: what time period should we look at? should we account for sudden variability at the beginning?); In a small town, there are four distinct neighborhoods: Oak, Pine, Maple, and Elm. A postman is assigned to deliver mail and can only deliver to two neighborhoods in one day, with certain rules (e.g. Oak is always visited before Pine). If he delivers to Oak and Elm on the first day, which neighborhoods does the carrier deliver to on the second day?; Note: No other prior specialized domain experience is needed.
We are looking for candidates with strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large content into smaller logical blocks, conduct research online, validate claims made in the content through online research, and work with the LLM (Large Language Models) to solve puzzles! Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better… Main tasks listed: You would spend time answering a variety of interesting analytical questions and creating scenarios that can train the LLM models to get better. Here are a couple of examples which models might get wrong and you would have to give the correct answer and explanation to enable the models to learn:; Based on a given distribution of sales by month across locations, could you analyze which location has grown the most? (Hint: what time period should we look at? should we account for sudden variability at the beginning?); In a small town, there are four distinct neighborhoods: Oak, Pine, Maple, and Elm. A postman is assigned to deliver mail and can only deliver to two neighborhoods in one day, with certain rules (e.g. Oak is always visited before Pine). If he delivers to Oak and Elm on the first day, which neighborhoods does the carrier deliver to on the second day?; Note: No other prior specialized domain experience is needed.
We are looking for candidates with strong analytical and English comprehension skills. The ideal candidate should have the ability to read, summarize, and break down large content into smaller logical blocks, conduct research online, validate claims made in the content through online research, and work with the LLM (Large Language Models) to solve puzzles! Your role is critical in helping fine-tune and improve large language models (like gpt), and will make you an expert on how to leverage AI to be a better… Main tasks listed: You would spend time answering a variety of interesting analytical questions and creating scenarios that can train the LLM models to get better. Here are a couple of examples which models might get wrong and you would have to give the correct answer and explanation to enable the models to learn:; Based on a given distribution of sales by month across locations, could you analyze which location has grown the most? (Hint: what time period should we look at? should we account for sudden variability at the beginning?); In a small town, there are four distinct neighborhoods: Oak, Pine, Maple, and Elm. A postman is assigned to deliver mail and can only deliver to two neighborhoods in one day, with certain rules (e.g. Oak is always visited before Pine). If he delivers to Oak and Elm on the first day, which neighborhoods does the carrier deliver to on the second day?; Note: No other prior specialized domain experience is needed.
We are seeking an AI Prompt & Policy Specialist to help design, evaluate, and improve how AI systems interact with tools, APIs, and users across multiple locales. In this role, you will work at the intersection of prompt engineering, policy design, and safety, ensuring that AI-driven workflows are accurate, compliant, and user-friendly.