Offer summary

Qualifications:

PhD in Biology with a focus on Genetics or Molecular Biology., Exceptional proficiency in written English., Ability to produce high-quality work independently., Attention to detail and commitment to precision in training processes..

Key responsabilities:

Develop training content by creating prompts and responses for AI learning.

Evaluate and rank AI responses to improve model accuracy in math contexts.

Test AI models for inaccuracies or biases to ensure their integrity.

Review and optimize the quality of LLM Data Training project items generated by other experts.

Job description

We seek an AI Data Trainer with an educational background in Biology. This pivotal role is designed for biology experts with the capability and enthusiasm to integrate biology knowledge into the development of cutting-edge AI models.

The Role

Develop Training Content: Create detailed prompts and responses in your languages to guide AI learning, ensuring the models reflect expertise in math.
Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy in math contexts.
Ensure Model Integrity: Diligently test AI models for potential inaccuracies or biases, validating their applicability to the engineering domain.
Review the quality of the LLM Data Training project items, generated by other experts, including but not limited to reviewing the quality, optimizing, or general responses about processes and procedures.

Your Profile

We are looking for a professional who exhibits:

A PhD in Biology with a background in one or more of the following disciplines: Genetics,Molecular Biology.
Exceptional proficiency in written English.
Ability to produce high-quality work with minimal or no supervision.
Attention to Detail: Commitment to precision and thoroughness in the training process.
Previous experience in writing for Large Language Models is a strong plus.

Commitment

This is an up to 40-hour-per-week engagement with flexibility based on project needs.

About SuperAnnotate

SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing AI models more efficiently with high-quality training data. We empower enterprises with advanced annotation and QA tools, data curation, automation features, language integrations, and data governance to create datasets and successful ML pipelines.

SuperAnnotate was recognized as one of the world's top 100 AI companies in 2021 by CB Insights.

Why Join Us?

Innovative Environment: Be part of a company recognized as a top AI innovator.
Impactful Work: Contribute to global AI advancements and thought leadership.
Growth Opportunity: A rare chance for career transitioners or those seeking an exciting new challenge.
Remote Flexibility: Enjoy the freedom of a fully remote position with flexible hours.
Competitive Compensation: Project-based pay reflecting the significance of your role.

Compensation and Contract Details

The volume of the work will be based on your minimum weekly hourly commitment.

SuperAnnotate currently does not sponsor visas and the role we’re offering is of a temporary nature, based on available projects, hence we are unable to accommodate the work authorization requirements associated with CPT or OPT in the USA.

Required profile