Environmental Science Researcher – AI Data Validation Project [USA]

Truelancer AI; United States; Remote; USD 55,000 - 96,000; Part time

Benefits offered by this job

Remote work

Flexible project-based schedule

US-focused scope

Job summary

Truelancer AI is seeking Environmental Science Researcher candidates for an AI research and scientific data validation project. PhD graduates, postdocs, and early-career researchers will review publications and datasets to ensure data quality for next‑generation AI systems.

Roles involve data curation, annotation, and rigorous evaluation against peer‑reviewed sources. Remote, project-based work with flexible hours (25–35 hrs/week) is offered.

Qualifications

• 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, lab/field research, or postdoctoral projects.
• Experience with scientific datasets, repositories, or research databases.
• Strong understanding of research methodologies and scientific literature.

Responsibilities

• 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.

Skills

Environmental science

Climate research

Sustainability analysis

Ecology

Environmental modelling

Education

PhD completed or near

Postdoctoral research

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