Material Science Researcher – AI Data Validation Project [INDIA]
Quick facts
- Pay
- $25–$30/hr
- Type
- Contract
- Location
- Remote — India
- Hours
- 25–35 hours / week
- Background
- PhD
- Platform
- Truelancer AI — 101 open jobs
- Typical pay at Truelancer AI
- $12–80/hour · median $58 (54 jobs on our site)
- Payout
- Not published by Truelancer AI
- Apply
- Free to apply — never pay to get AI training work
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
Guidelines
Truelancer AI verifies each project before posting. Apply on Truelancer AI; never pay to get work.