環境科学の専門知識を活かして、AIモデルのトレーニングと評価を行いましょう。
Create research-level AI evaluation problems in oceanography, atmospheric science, or geoscience using real field and instrument data. This remote contractor role pays $50 per hour with flexible, task-based assignments.
掲載日：2026年11月11日
Create research-level ecology, wildlife, and fisheries problems that test AI models using real population data. This remote contract role pays $50 per hour with no fixed weekly schedule.
掲載日：2026年11月11日
Review AI-generated environmental work on permitting, compliance, remediation, air and water modeling, and impact studies. This fully remote contractor role pays $100 per hour and offers flexible, asynchronous work.
掲載日：2026年11月9日
Evaluate AI-generated code, geospatial analyses, simulations, and forecasts as an Earth and environmental sciences AI Trainer. This remote contractor role pays $60 to $120 per hour equivalent, paid per accepted task, with a flexible schedule.
掲載日：2026年11月9日
Create research-grade Python tasks that test AI models on Earth, ocean, and climate science problems. This flexible contractor role pays $100 per hour, with tasks taking about two hours and no fixed weekly schedule.
掲載日：2026年11月8日
Use environmental, GIS, and renewable energy expertise to create training data and review AI-generated content for accuracy. This remote, asynchronous project offers up to $85 per hour with no minimum hours.
掲載日：2026年11月7日
Use your Environmental Health and Safety experience to write questions, review AI responses, and give practical feedback. This remote U.S. contractor role offers up to $100 per hour, with flexible project work often available for 5-20 hours weekly.
掲載日：2026年11月7日
Use your sustainability, ESG, carbon accounting, or environmental compliance experience to evaluate AI-generated content and produce structured research outputs. This remote, asynchronous contract offers up to $80 per hour with no minimum hours.
掲載日：2026年11月5日
Review AI-generated work using your thermal power, plant performance, and emissions expertise. This remote project offers up to $80 per hour, with flexible participation of about 5 to 20 hours weekly during active projects.
掲載日：2026年11月5日
Review AI-generated renewable energy work and produce forecasts, performance reports, and REC analyses. This remote project offers flexible participation of about 5 to 20 hours weekly and pays up to $80 per hour.
掲載日：2026年11月5日
Use GIS and renewable energy expertise to evaluate AI responses, create training data, and give written feedback. This remote U.S. contract offers flexible asynchronous work, typically 5 to 20 hours per week on active projects, with up to $85 per hour.
掲載日：2026年11月5日
Use your environmental science expertise to write prompts and evaluate AI-generated responses for accuracy and relevance. This remote US project offers flexible hours, no minimum commitment, and pay up to $100 per hour.
掲載日：2026年11月5日
Solve difficult STEM problems, run Python calculations or simulations, and review AI-generated answers for scientific accuracy. Earn $60 to $120 per hour equivalent, paid per task that meets project specifications, with flexible remote work.
掲載日：2026年10月16日
Use professional knowledge of agriculture, forestry, and environmental management to review AI training data, assess real-world practices, and create accurate technical guidance. This remote part-time contract pays $40 to $60 per hour.
掲載日：2026年10月14日
Create terminal-based AI benchmark tasks from real Earth science workflows using Python, R, Julia, Bash, and Linux. This five-week contractor assignment pays $300 per approved task and requires 20+ hours per week.
掲載日：2026年9月24日
Review AI-generated elementary science lessons, activities, quizzes, and explanations for accuracy, safety, clarity, and grade-level fit. This remote India-based contractor role pays up to $10 per hour and requires 20+ hours per week.
掲載日：2026年8月29日
Review AI-generated explanations and contributor work across biology and environmental science. This remote contract role offers up to $20 per hour, 20+ hours per week, and applications through OpenTrain.
掲載日：2026年8月29日
