Material Science Researcher – AI Data Validation Project [INDIA]

Truelancer AI; United States; Remote; USD 55,000 - 83,000; Full time

Benefits offered by this job

Remote work

Flexible hours

Global collaboration

Job summary

Truelancer AI is seeking PhD researchers and early-career scientists in Materials Science to join a remote, 25-35 hrs/week project focused on AI research, scientific data validation, and quality evaluation. You will review publications and datasets, validate information against peer-reviewed sources, and curate materials data using global repositories.

The role emphasizes rigorous data quality checks, clear communication of findings, and collaboration within a global AI research ecosystem.

Qualifications

• PhD completed or recently completed in Materials Science or related field.
• 0–5 years of professional, academic, or postdoctoral experience.
• Strong research experience demonstrated by publications, theses, lab work, or postdoctoral projects.
• Experience 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.

Responsibilities

• 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.

Skills

Analytical thinking

Attention to detail

Literature review

Critical thinking

English communication

Data annotation

Education

PhD in Materials Science or related field

Job description

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