Materials Scientist & Data Validator for AI (Remote)

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

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.