Climate Data Specialist
$90
Explore verified remote AI training opportunities in Environmental. Help leading tech companies improve their AI models through domain-specific evaluation and human feedback. Work is fully remote and flexible—you set your own hours. Positions range from entry-level ($15/hr) to expert-level ($45+/hr) depending on specialization and experience.
Part of: STEM & Science
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Environmental science tasks evaluate AI understanding of climate systems, ecological dynamics, sustainability analysis, and environmental policy. You'll assess whether AI correctly explains greenhouse gas feedback loops, accurately describes biodiversity metrics, or properly interprets climate model outputs. Tasks frequently involve real datasets—emissions data, temperature anomaly records, ecosystem survey results—and ask whether the AI's interpretation is scientifically defensible. Policy analysis tasks appear alongside scientific ones: does this proposed regulation align with evidence-based best practices? Background in environmental science, atmospheric science, ecology, or earth systems science is essential. Familiarity with IPCC reports and peer-reviewed climate literature is a strong differentiator.
Many entry-level data annotation and evaluation roles in Environmental do not require prior professional experience, just attention to detail and critical thinking. Most platforms provide training and detailed guidelines to help you succeed.
Pay varies by role and platform. Entry-level data annotation typically pays $15-25/hr. More specialized roles (coding review, language evaluation) pay $35-80/hr. Rates vary by location—US-based workers typically earn more. Build your reputation to unlock higher-paying tasks.
Yes! Most platforms allow you to work for Mercor, Micro1, SME Careers, DataAnnotation, Outlier, and other AI training companies at the same time. Many successful contractors juggle 2-3 platforms to maximize earnings and task availability.
Most platforms pay via PayPal, Wise, AirTM, or local bank transfers. You can typically cash out weekly or after completing your first task. Check individual platform listings for your region's payment options.
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