Biology Expert (PhD)

Micro1; India; A distancia; INR 1.378.000 - 2.480.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work

Descripción de la vacante

Cashback24x7 is seeking a Biology Expert (PhD) in a remote contractor role to contribute to an AI training data project. You will apply domain knowledge to train next-generation AI systems, shaping how models learn, reason, and perform with high-quality biological input.

You will critically evaluate data, develop realistic biological scenarios, and provide expert insights to ensure accuracy and depth of AI datasets. Collaboration with platform teams and knowledge sharing are part of the role.

Formación

• PhD in biology or closely related life science discipline required.
• Ability to contextualize complex topics for diverse audiences.
• Excellent written and verbal communication for feedback and reasoning.
• Experience with scientific data analysis and literature evaluation.

Responsabilidades

• Critically evaluate and provide detailed feedback on biology-related data, prompts, or content used in AI development workflows.
• Create, review, and refine scientific scenarios, questions, or explanations reflecting complex, real-world biological problems.
• Offer expert-level insights to ensure accuracy, relevance, and depth of AI training datasets and system outputs in biology.
• Collaborate with platform teams to clarify ambiguities and improve data quality, coverage, and representativeness.
• Document findings, methodologies, and rationale to support transparency and reproducibility.
• Participate in iterative review cycles and ongoing evaluation to enhance AI system capabilities in biology.
• Engage in knowledge-sharing sessions with interdisciplinary experts, contributing to project outcomes.

Conocimientos

Scientific data analysis

Critical evaluation

Communication skills

Independent work

Educación

PhD in Biology or life sciences

Descripción del empleo

Role Title: Biology Expert (PhD)

Role Type: Contractor

Location: Remote

micro1 is engaging Biology Experts (PhD) to contribute to a dynamic customer project focused on advancing artificial intelligence capabilities. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

• Critically evaluate and provide detailed feedback on biology-related data, prompts, or content used in AI development workflows.
• Create, review, and refine scientific scenarios, questions, or explanations reflecting complex, real-world biological problems.
• Offer expert-level insights to ensure accuracy, relevance, and depth of AI training datasets and system outputs in the biological domain.
• Collaborate with platform teams to clarify ambiguities and improve data quality, coverage, and representativeness for biological subject matter.
• Document findings, methodologies, and rationale to support transparency and reproducibility in project deliverables.
• Participate in iterative review cycles and ongoing evaluation to enhance the AI system’s capabilities in biology.
• Engage in knowledge-sharing sessions with interdisciplinary experts, contributing to the enrichment of project outcomes.

Preferred Qualifications

• PhD in biology or a closely related life science discipline.
• Demonstrated expertise in core biological principles with the ability to contextualize complex topics for diverse audiences.
• Exceptional written and verbal communication skills, ensuring clear articulation of feedback and scientific reasoning.
• Experience with scientific data analysis, critical evaluation of research, and synthesis of intricate subject matter.
• Proven ability to work independently, consistently delivering high-quality outputs within defined project frameworks.
• Prior contributions to interdisciplinary scientific or technology-focused projects (exposure to AI is a plus but not mandatory).
• Keen attention to detail, consistency, and a passion for promoting scientific rigor and accuracy.

Compensation Structure

• Compensation is output-based; experts are paid per task that meets the project specifications.
• The time required to complete work may vary depending on the expert’s experience and workflow.
• Minimum submission requirements apply.
• Experts must submit a minimum of tasks per week.

Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.