Biologist for AI Training (PhD)

SaidGig

New York (NY)

Remote

USD 110,000 - 124,000

Part time

4 days ago
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Job summary

SaidGig is seeking a PhD-level biology expert to help train and evaluate AI systems. You will provide high-quality, real-world scientific input to strengthen model learning, reasoning, and performance. Prior AI experience is not required, and this is a remote, task-based contractor role.

You will assess data, craft scientific scenarios, and ensure outputs are accurate, rigorous, and representative across biology domains. The engagement emphasizes independent work and timely delivery.

Qualifications

  • PhD in biology or closely related life-science discipline.
  • Strong command of core biological principles and ability to explain complex topics to varied audiences.
  • Exceptional written and verbal scientific communication skills.
  • Experience analyzing scientific data, critically evaluating research, and synthesizing complex subject matter.
  • Ability to work independently and deliver high-quality work within defined project frameworks.
  • Interdisciplinary scientific or tech-focused project experience is preferred; AI exposure is beneficial but not required.
  • Excellent attention to detail, consistency and scientific rigor.

Responsibilities

  • Critically assess biology-related data, prompts, and content used in AI development workflows, providing detailed feedback.
  • Create, review, and refine scientific scenarios, questions, and explanations based on complex real-world biological problems.
  • Provide expert insight to ensure biological training data and system outputs are accurate, relevant, and sufficiently rigorous.
  • Work with project teams to clarify ambiguities and improve data quality, coverage, and representativeness.
  • Document findings, methods, and rationale to support transparent, reproducible deliverables.
  • Take part in iterative reviews and ongoing evaluations that improve AI capabilities in biology.
  • Share knowledge with interdisciplinary experts to strengthen project outcomes.

Skills

Biology knowledge
Scientific communication
Data analysis
Critical evaluation
Independent work
Interdisciplinary experience
Attention to detail

Education

PhD in Biology

Job description

Role Overview

Apply advanced biology expertise to help train and evaluate next-generation AI systems. You will provide high-quality, real-world scientific input that strengthens how models learn, reason, and perform. Prior AI experience is not required.

Key Responsibilities
  • Critically assess biology-related data, prompts, and content used in AI development workflows, providing detailed feedback.
  • Create, review, and refine scientific scenarios, questions, and explanations based on complex real-world biological problems.
  • Provide expert insight to ensure biological training data and system outputs are accurate, relevant, and sufficiently rigorous.
  • Work with project teams to clarify ambiguities and improve data quality, coverage, and representativeness.
  • Document findings, methods, and rationale to support transparent, reproducible deliverables.
  • Take part in iterative reviews and ongoing evaluations that improve AI capabilities in biology.
  • Share knowledge with interdisciplinary experts to strengthen project outcomes.
Qualifications
  • PhD in biology or a closely related life science discipline.
  • Strong command of core biological principles and the ability to explain complex topics to varied audiences.
  • Exceptional written and verbal scientific communication skills.
  • Experience analyzing scientific data, critically evaluating research, and synthesizing complex subject matter.
  • Ability to work independently and consistently deliver high-quality work within defined project frameworks.
  • Prior interdisciplinary scientific or technology-focused project experience is preferred. AI exposure is beneficial but not required.
  • Excellent attention to detail, consistency, and commitment to scientific rigor and accuracy.
Work Terms

Remote, independent contractor engagement.

Compensation is task and output based. Work time may vary based on experience and workflow.

Minimum submission requirements apply, including a required minimum number of task submissions each week.

Roles are typically filled within 48 hours. Selected applicants should be ready to begin their first tasks within 24 to 48 hours after completing the required initial setup.

Compensation

$80 to $90 per hour. Payment applies to tasks that meet project specifications.

Application Process

Apply through the online application, select an email or Google sign-in option, and complete the required initial setup if selected.

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