Use your hands-on experience in oceanography, atmospheric science, geoscience or a related field to write research-level problems for AI models. Remote, flexible contract work. AfterQuery works with leading AI labs to build the expert data that tests and trains AI models.
Environmental Science Researcher – AI Data Validation Project [USA]
United States
$70 – $100/hr
August 18, 2026
Job description
Environmental Science Researcher – AI Research & Scientific Data Validation
Truelancer AI is looking for PhD researchers and early-career scientists in Environmental Science to participate in a large-scale AI research, scientific data validation, and quality evaluation project.
If you have a strong research background and enjoy working with scientific literature, datasets, and research databases, this is an opportunity to apply your domain expertise to next-generation AI systems.
Who We’re Looking For
We are looking for recent PhD graduates, postdoctoral researchers, and early-career researchers with expertise in:
Environmental Science
- Environmental Scientists
- Climate Researchers
- Sustainability Analysts
- Ecologists
- Environmental Modelling Specialists
What You’ll Do
As an Environmental Science Researcher, you will:
- Review and evaluate scientific content, publications, and research data.
- Validate scientific information against peer-reviewed research and trusted datasets.
- Work with scientific databases, repositories, and research datasets.
- Identify inaccurate, incomplete, inconsistent, or misleading information.
- Curate, classify, and organise scientific data.
- Perform data annotation and quality assurance.
- Evaluate the reliability, relevance, and quality of research data.
- Apply scientific reasoning to assess research outputs.
- Document findings and clearly communicate recommendations.
Requirements
- PhD completed or recently completed in Environmental Science or a relevant discipline.
- 0–5 years of professional, academic, or postdoctoral experience.
- Strong research experience through publications, thesis work, laboratory/field research, or postdoctoral projects.
- Experience working with scientific datasets, repositories, or research databases.
- Strong understanding of research methodologies and scientific literature.
- Excellent analytical and critical-thinking skills.
- Exceptional attention to detail.
- Ability to identify scientific errors, inconsistencies, and data-quality issues.
- Strong written English communication skills.
Good to Have
- Experience in scientific data curation or quality review.
- Experience with public scientific repositories and databases.
- Experience with environmental datasets or research databases.
- Experience using AI-assisted research tools.
- Experience reviewing and fact-checking scientific literature.
- Experience with annotation, evaluation, or AI data projects.
Why Join?
- Work on cutting-edge AI and scientific research projects.
- Apply your PhD expertise outside traditional research roles.
- Work remotely with flexible project-based opportunities.
- Contribute to improving the quality and reliability of AI systems.
- Opportunity to work with a global AI research ecosystem through Truelancer AI.
Engagement
Role: Environmental Science Researcher / Scientific Data Validator
Experience: 1–5 years
Contract: 1099
Education: PhD / Recent PhD / Postdoctoral Research
Work Mode: Remote | 25 hrs to 35 hrs / Week
Apply now
Opens ai.truelancer.com in a new tab. If they ask how you found the role, mention RemoWork.
Time Commitment: 15+ hours per week Schedule: Flexible micro1 is looking for Computational Earth and Environmental Scientists with prior professional AI-training or model-evaluation experience to support a project focused on improving advanced AI systems.
Role Title: Directional Surveyor / Drilling Engineer (Magnetic Single-Shot and Multi-Shot Film) Role Type: Contractor Location: Remote micro1 is engaging Directional Surveyors and Drilling Engineers with expertise in magnetic single-shot and multi-shot survey film methods to…
Energy professionals help test and train AI models on real work in utilities, oil and gas, and power. This is fully remote, part time project work with flexible hours, paid hourly.