AI training contract
Physics Expert (Biophysics / Statistical Physics)
Science & Research · USD 80-160 an hour. · 10 openings
Physics Expert (Biophysics / Statistical Physics) is contract work for micro1, reviewing and correcting what AI models produce in science & research. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. No credential is stated on this listing beyond experience in the field.
What it pays. USD 80 to USD 160 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 10 openings on this role.
Skills named: Physics, stochastic two-state Markov processes with gamma-distributed waiting times, Euler-Lotka equation, perturbative expansion in small division-noise variance, renewal theory, first-passage-time analysis.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Physics Expert (Biophysics / Statistical Physics) Role Type: Contractor Location: Remote micro1 is engaging Physics Experts (Biophysics / Statistical Physics) to contribute to a research-level project focused on modeling bacterial population growth, stochastic two-state growth-rate switching, cell-size regulation noise, and asymptotic population growth rate. 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. Participants may be considered for one or more assignments, including Solver, Auditor, or Adjudicator, based on subfield specialization, seniority, and hands-on experience with the relevant methods. Scope of Work Analyze and model stochastic two-state Markov processes with gamma-distributed waiting times in the context of bacterial population dynamics. Apply the Euler-Lotka equation to assess and benchmark asymptotic population growth rates under varying noise regimes. Develop or review analytical approaches using perturbative expansions in small division-noise variance and validate resulting predictions. Integrate renewal theory and first-passage-time analysis to derive key insights on population growth and cell-size regulation noise. Document detailed methodological steps, assumptions, and findings clearly for AI training and reproducibility purposes. Preferred Qualifications Advanced expertise in statistical physics, biophysics, or related quantitative biological modeling of stochastic processes. Proven experience working with two-state Markov models and gamma-distributed waiting times in biological or physical systems. Strong command of the Euler-Lotka equation, perturbative expansions, and renewal theory in the context of population or growth dynamics. Demonstrated ability to conduct first-passage-time analysis and interpret implications for growth-rate fluctuations and size control.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.