Typical $40–100/hr
Worldwide
Remote · worldwide
research
Contract / freelance
Pay rate ·
Typical $40–100/hrTypical hourly range for this type of role — the exact rate is confirmed by the hiring company.
Job Description
Rate
20$-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 attentio