Biology Subject Matter Expert (AI Training & Scientific Content)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 18h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 74d ago
The date the source published, not the day we noticed it (2026-07-03). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India, United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $20–30/hr
Middle 50% of 159 listings that do state pay — Content & Media · all levels · United States · USD/hour. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 11d ago · last seen just now
The listing
This role is for one of our clients
$20 - $40/hourpay
Role Title: Biology Subject Matter Expert (AI Training & Scientific Content)
Role Type: Contractor
Location: Remote
We are seeking experienced Biology professionals to contribute their subject-matter expertise toward training next-generation AI systems. In this role, you will apply your scientific knowledge to improve AI reasoning, accuracy, and understanding through high-quality biological content, research analysis, and technical review. Prior AI experience is not required—your expertise in biology and scientific communication is the key qualification.
Requirements
Key Responsibilities
- Review, annotate, and provide expert feedback on biological datasets, scientific content, and educational materials.
- Author, evaluate, and edit laboratory reports, research papers, field studies, and technical documentation to ensure scientific accuracy and clarity.
- Develop and refine prompts, queries, and structured data that improve AI understanding of biological concepts.
- Identify inaccuracies, knowledge gaps, and ambiguities in AI-generated biological content, providing detailed corrections and recommendations.
- Collaborate with cross-functional teams and project managers to deliver high-quality outputs aligned with project objectives.
- Create educational and reference materials to support AI model training, validation, and benchmarking.
- Stay current with advancements in biology, life sciences, and emerging scientific research.
Required Qualifications
- Bachelor's, Master's, or PhD in Biology, Life Sciences, or a related discipline.
- Experience authoring laboratory reports, peer-reviewed publications, scientific research papers, or field study documentation.
- Strong understanding of biological concepts, experimental methods, and scientific research methodologies.
- Proven ability to analyze, interpret, and validate biological data from experimental or literature-based sources.
- Excellent written and verbal communication skills with strong scientific writing abilities.
- High attention to detail and commitment to scientific accuracy and quality.
- Ability to work independently in a fully remote and collaborative environment.
Preferred Skills
- Experience reviewing scientific literature, educational content, or technical documentation.
- Background in research, academia, biotechnology, healthcare, pharmaceuticals, or life sciences.
- Familiarity with interdisciplinary scientific projects and remote collaboration.
- Passion for improving AI systems through high-quality scientific expertise.
Must-have Skills
- Biology
- Scientific Writing
Good-to-have Skills
- Research
- Life Sciences
- Data Analysis