AI Content Specialist

Alignerr

Delhi, Delhi, IndiaFresher19h agovia LinkedIn

About the Role

Alignerr is partnering with leading AI research labs to build scientifically rigorous AI. As a Biochemistry Subject Matter Expert, your deep knowledge will directly shape how AI reasons through complex life science problems. This is a fully remote, flexible contract role designed to fit around existing commitments. No AI experience is needed.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week

Key Responsibilities

  • Design Advanced Problems — Craft challenging biochemistry scenarios across areas like nucleic acid chemistry, proteomics, metabolic flux, and drug-target interactions to rigorously test AI reasoning.
  • Author Ground-Truth Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI scientific reasoning.
  • Audit AI Outputs — Evaluate AI-generated biochemical pathways, molecular structures, and quantitative analyses for scientific accuracy, logical consistency, and adherence to established standards.
  • Refine AI Reasoning — Identify specific failure modes (e.g., incorrect stoichiometry, flawed stereochemistry, misapplied enzyme kinetics) and provide structured feedback to improve AI's thinking in life science problems.

Qualifications

  • PhD (completed or in progress) in Biochemistry, Molecular Biology, or a closely related field.
  • Deep Domain Knowledge: Strong grounding in structural biology, enzymology, cellular metabolism, bioinformatics, or related specializations.
  • Clear Scientific Communicator: Able to translate complex biological and chemical concepts into precise, well-structured written explanations.
  • Meticulous and Detail-Oriented: High precision when reviewing chemical equations, molecular diagrams, reaction mechanisms, and experimental protocols.
  • No prior AI or data annotation experience required.

Nice to Have

  • Experience with data annotation, evaluation, or quality assurance workflows.
  • Familiarity with computational biochemistry tools such as PyMOL, AlphaFold, or BLAST.
  • Background in scientific writing, peer review, or research mentorship.

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