Data analyst Jobs in Bend, OR

Biology Expert

Required Skills

biological data analysis

scientific reading comprehension

assessment and question creation

written and verbal communication

remote team collaboration

About micro1

micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Job Title: Biology Expert

Job Type: Contractor

Location: Remote

Rate: 20$-50$ per task

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:

• 2-6 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.