Materials Scientist - Fully Remote | Up to $84/hr

Mercor; Berlin; Teletrabalho; EUR 55 000 - 83 000; Tempo parcial

Resumo da oferta

Mercor seeks experienced experts in inorganic chemistry and materials synthesis to support advanced AI research. You will evaluate inorganic systems, synthetic methods and materials characterization to aid AI models that reason about chemistry and materials science.

PhD level (or MSc with extensive research) candidates with hands-on synthesis and characterization experience (XRD, XPS, SEM/TEM, FTIR, Raman) are encouraged to apply.

Qualificações

• PhD in inorganic or materials chemistry with strong synthesis experience.
• Hands-on experience in solid-state reactions and hydrothermal/solvothermal routes.
• Proven ability to interpret crystallography and phase diagrams.
• Experience evaluating experimental data and literature for accuracy.
• Excellent scientific writing and communication skills.
• Ability to independently solve complex scientific problems.

Responsabilidades

• Evaluate technically complex inorganic chemistry and materials synthesis problems.
• Review AI-generated explanations and proposed synthesis routes for accuracy.
• Assess reaction mechanisms, precursors, and phase formation.
• Develop reference answers and rigorous evaluation frameworks.
• Identify inaccuracies in chemical reasoning and experimental results.
• Apply XRD, XPS, SEM/TEM, FTIR, Raman, and thermal analysis in reviews.
• Collaborate with teams to improve AI model reliability.

Conhecimentos

Inorganic synthesis

Solid-state chemistry

Crystallography

Materials characterization

Analytical reasoning

Scientific writing

Formação académica

PhD in Inorganic Chemistry

MSc with extensive research

Ferramentas

XRD

XPS

SEM

TEM

FTIR

Raman

Thermal analysis

Descrição da oferta de emprego

Mercor is seeking experienced Inorganic Chemistry and Materials Synthesis Experts to contribute to advanced AI research initiatives. In this role, you will leverage your expertise in inorganic chemistry, synthetic methodologies, and materials characterisation to evaluate complex scientific problems, assess technical accuracy, and support the development of AI systems capable of advanced scientific reasoning. This opportunity is ideal for PhD-level researchers, materials scientists, and industry professionals with hands‑on experience designing, synthesising, and characterising inorganic materials.

Key Responsibilities

• Evaluate technically complex problems involving inorganic chemistry, solid‑state chemistry, and materials synthesis.

• Review and validate AI‑generated scientific explanations, synthesis pathways, and experimental methodologies.

• Assess reaction mechanisms, precursor selection, reaction conditions, phase formation, and materials stability.

• Develop scientifically rigorous reference answers, technical evaluations, and reasoning frameworks.

• Identify inaccuracies in chemical reasoning, proposed synthetic routes, and interpretations of experimental results.

• Apply knowledge of analytical and characterisation techniques such as XRD, XPS, SEM, TEM, FTIR, Raman spectroscopy, and thermal analysis.

• Collaborate with research teams to improve the scientific accuracy and reliability of advanced AI models.

Required Qualifications

• PhD in Inorganic Chemistry, Materials Chemistry, Solid‑State Chemistry, Materials Science, or a closely related discipline. Exceptional MSc candidates with extensive research experience may be considered.

• Demonstrated experience in inorganic synthesis, solid‑state reactions, solution‑phase synthesis, hydrothermal/solvothermal methods, or related techniques.

• Strong understanding of crystallography, phase diagrams, chemical bonding, thermodynamics, and reaction kinetics.

• Experience interpreting experimental characterisation data and assessing scientific literature.

• Strong scientific writing, analytical reasoning, and communication skills.

• Ability to independently evaluate complex scientific problems.

Preferred Qualifications

• Research experience involving catalysts, metal oxides, ceramics, semiconductors, coordination compounds, or functional inorganic materials.

• Peer‑reviewed publications or patents in inorganic chemistry or materials synthesis.

• Experience bridging experimental chemistry with computational materials science.

• Prior experience evaluating scientific datasets, technical benchmarks, or AI‑generated research outputs.

Engagement Details

• Commitment: Minimum 10 hours per week, with potential for up to 40 hours per week.

Why Join Mercor?

• Apply specialised scientific expertise to cutting‑edge AI research.

• Contribute to improving how advanced AI systems understand chemistry and materials science.

• Collaborate on intellectually challenging scientific problems.