Job Title: Biology Expert
Job Type: Contractor
Location: Remote
Job Summary: 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.
Key Responsibilities:
Analyze technical documents and extract key information relevant to your domain expertise
Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios
Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis
Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness
Apply advanced subject matter knowledge to evaluate and solve complex engineering problems
Work independently, managing your time to deliver high-quality outputs with minimal supervision
Contribute to the continuous improvement of data quality and project processes
Required Skills And Qualifications:
2+ years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia)
Strong reading comprehension skills, with proven ability to analyze and interpret technical documents
Exceptional English communication skills, both written and verbal
Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets
Ability to work independently and efficiently, with excellent self-management
High attention to detail and commitment to data accuracy
Experience interfacing with technical documentation and performing analytical tasks
Preferred Qualifications:
Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology
Previous experience contributing to interdisciplinary or research-driven projects
Familiarity with data-driven analysis or training data preparation
Job Summary: 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.
Key Responsibilities:
Analyze, review, and interpret complex biological documents, research papers, and data sets to create high-quality assessment content.
Formulate and vet biology-related questions focused on data retrieval, computation, and critical analysis.
Deliver clear explanations and detailed feedback to enhance AI model understanding.
Collaborate with a remote, interdisciplinary team to ensure ongoing content accuracy and quality.
Contribute domain-specific expertise to support the continuous improvement of AI systems.
Work independently to meet deadlines and achieve high productivity with minimal supervision.
Uphold rigorous standards for written and verbal communication in English.
Required Skills And Qualifications:
Minimum 2 years of professional experience in biology, either in academia, laboratory settings, or relevant industry roles.
Demonstrated ability to analyze and synthesize complex biological information from diverse sources.
Strong written and verbal English communication, with an emphasis on clarity and detail.
Excellent reading comprehension, particularly in interpreting research and technical documents.
Experience creating or reviewing problem sets, assessments, or scientific analyses.
Ability to work autonomously and efficiently in a remote environment.
High attention to detail and commitment to quality.
Preferred Qualifications:
Advanced degree (Master’s or PhD) in Biology or closely related field.
Experience collaborating with multidisciplinary teams or involvement in cross-functional projects.
Familiarity with computational biology or data analysis tools.
YO IT Consulting is a fast-growing AI Data Services company that delivers high-quality training data for some of the world's largest AI companies and foundation-model labs. The company specializes in creating and curating specialized content across multiple domains—including biology, mechanical engineering, copywriting, and other technical fields—to train and improve advanced AI models and foundation models. They work with a distributed network of remote domain experts and subject matter specialists who review AI-generated outputs, create gold-standard training content, and ensure data quality across their projects. The company's mission is to improve the world's premier AI models by providing accurate, logically sound, and well-reasoned training data that enhances model performance across diverse applications.
