Environmental Science Researcher — AI Data Validation

Truelancer AI; United States; A distancia; USD 55.000 - 96.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work

Flexible project-based schedule

US-focused scope

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Environmental science

Climate research

Sustainability analysis

Ecology

Environmental modelling

Educación

PhD completed or near

Postdoctoral research

Descripción del empleo

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.