WFH.teamOpen app$42k-$94k
Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.
Decision details from the source listing
Bachelor’s degree in math, science, engineering, economics, finance, or a related field, or equivalent experience
unspecified
unspecified
These fields are normalized from the employer's text. Confirm details on the employer site before applying.
What this posting tells you
Remote contractor role contributing STEM, finance, or quantitative expertise to train AI systems through educational content annotation and review. A relevant bachelor’s degree or equivalent experience is preferred; no minimum years of experience or compensation details are stated.
Backend, Customer success, Finance and investments, Marketing, Product
Eligible countries are not stated.
Timezone overlap is not stated.
Bachelor’s-level; no years of experience specified · Contractor
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
Backend hiring on WFH.team
This role's listed pay is below the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketSTEM / Quant Bachelor at micro1
Role Title: STEM / Quant Bachelor
Role Type: Contractor
Location: Remote
micro1 is engaging STEM / Quant Bachelors to contribute their expertise on a leading-edge customer project. 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. This is a unique opportunity to leverage your STEM, finance, or quantitative background in a highly impactful context, annotating and reviewing educational content across math, physics, chemistry, finance, and economics. Clear, thoughtful written and verbal communication is central to this engagement, as project success depends on both the accuracy and clarity of your insights.
Scope of Work
Analyze and annotate a range of school-level and introductory college math, physics, chemistry, finance, and economics homework problems.
Review, edit, and provide feedback on annotated materials to ensure consistency and accuracy.
Collaborate via written and verbal discussions in long multi-turn chat sessions, providing thorough, well-reasoned responses.
Compare and assess two long-form responses side by side, evaluating clarity, correctness, and pedagogical value.
Document reasoning and highlight common misconceptions or errors in learning materials.
Contribute domain expertise to help refine AI model understanding in quantitative subjects.
Preferred qualifications
Bachelor’s degree in math, science, engineering, economics, finance, or related field, or equivalent experience.
Solid grounding in quantitative analysis and problem-solving.
Proficiency in Python and familiarity with finance & economics concepts.
Native or near-native command of written English with emphasis on clarity and precision.
Demonstrated ability in careful reading and analysis of complex, multi-turn conversations.
Experience with annotation, educational content review, or similar work involving detailed feedback is strongly preferred.
Comfortable collaborating remotely with diverse teams and adapting feedback into actionable improvements.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.