Biology AI Training QA Lead — Remote

YO IT Consulting

Dubai

On-site

AED 133,920 - 212,040

Full time

14 days+
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Job summary

YO IT Consulting is seeking a Biology QA Lead to oversee the reliability of biological content used to train AI systems in a remote capacity. The role focuses on ensuring accuracy, safe practices, and high-quality explanations across biology topics including genetics, microbiology, ecology, and biochemistry.

Ideal candidates have at least 3 years in biology research or related QA work, strong written feedback skills, and the ability to coach and calibrate contributors in a fast-moving remote

Qualifications

  • Bachelor's, Master's, or PhD in Biology or related discipline.
  • Minimum 3 years in biology research or related field.
  • Strong English communication for guidelines and feedback.
  • Understanding of cell biology, genetics, molecular biology and physiology.
  • Experience leading or supporting QA teams is preferred.

Responsibilities

  • Review biology AI training items against rubrics and quality standards.
  • Evaluate scientific accuracy and biological reasoning in submissions.
  • Assess content across cell biology, genetics, microbiology, ecology, evolution and biochemistry.
  • Check calculations, units, and scientific notation.
  • Provide precise written feedback and escalate when needed.
  • Maintain documentation and calibration workflows.

Skills

Biology QA
Cell biology
Molecular biology
Genetics
Microbiology
Biochemistry
Physiology
Ecology
Evolution
Experimental design
Biosafety
Contamination control
Laboratory documentation
Rubric-based assessment
Discord
Google Sheets
Google Docs

Education

Bachelor's degree in Biology
Master's degree in Biology
PhD in Biology

Tools

Discord
Google Sheets
Google Docs

Job description

YO IT Consulting is seeking a Biology QA Lead to oversee the reliability of biological content used to train AI systems in a remote capacity. The role focuses on ensuring accuracy, safe practices, and high-quality explanations across biology topics including genetics, microbiology, ecology, and biochemistry.

Ideal candidates have at least 3 years in biology research or related QA work, strong written feedback skills, and the ability to coach and calibrate contributors in a fast-moving remote

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