Materials Scientists & Materials Researcher – AI Research & Scientific Data Validation

Truelancer AI is looking for PhD researchers and early-career scientists in Materials Science and related fields 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, research databases, and technical information, 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:

Materials Science & Engineering

• Materials Scientists
• Materials Engineers
• Semiconductor Researchers
• Battery Technology Researchers
• Nanomaterials Specialists

What You’ll Do

As a Materials Researcher, you will:

• Review and evaluate scientific content, publications, and research data.
• Validate technical information against peer-reviewed research and trusted datasets.
• Work with materials databases, scientific repositories, and research datasets.
• Identify inaccurate, incomplete, inconsistent, or misleading scientific information.
• Curate, classify, and organise materials science data.
• Perform scientific data annotation and quality assurance.
• Evaluate the reliability, relevance, and quality of research data.
• Apply materials science principles to assess research outputs.
• Analyse experimental results, material properties, and technical information.
• Document findings and clearly communicate recommendations.

Requirements

• PhD completed or recently completed in Materials Science, Materials Engineering, Physics, Chemistry, Chemical Engineering, Metallurgy, Nanotechnology, or a related field.
• 0–5 years of professional, academic, or postdoctoral experience.
• Strong research experience through publications, thesis work, laboratory research, or postdoctoral projects.
• Experience working with scientific datasets, repositories, research databases, or technical literature.
• Strong understanding of scientific research methodologies.
• 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 materials science databases and repositories.
• Experience with computational materials science, modelling, or simulation.
• Experience with materials characterisation techniques and experimental data.
• Experience in battery, semiconductor, nanomaterials, or advanced materials research.
• 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: Materials Scientist / Materials Researcher / Scientific Data Validator
Experience: 0–5 years
Contract: 1099
Education: PhD / Recent PhD / Postdoctoral Research
Work Mode: Remote | 25–35 hrs/week

Screening & Qualification Details

• Your Expertise Domain (Molecular & Cellular Life Sciences, Organismal Biology, Ecological, Evolutionary & Environmental Sciences, Health, Applied & Quantitative Sciences)