Data Scientist
Micro1 • Remote
Education
Bachelor's
Type
Hourly
Pay Rate
$245–$280/hr
Actively Hiring
100 openings
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From the Micro1 listing
Role Title: Data Scientist Role Type: Contractor Location: Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and quantitative reasoning.
Scope of Work
- Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
- Create expert-level prompts, datasets, and reference solutions
- Identify flawed methodology, statistical errors, and weak quantitative reasoning
- Provide structured feedback that improves model capability
Preferred Qualifications
- At least one year of experience working at a top company (tech, finance, or research), with at least part of this experience within the past 7 years
- Based in an English-speaking country
- Clear written communication of technical and statistical concepts
Requirements
- Python
- Machine Learning
- Statistics
- Data Analysis
- Experimentation
- Pandas
- Data Modeling
How long hiring takes
Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.
Interview Prep
Sample questions for a Data Scientist role, written in-house to help you prepare.
How do you determine the required sample size for an experiment before running it?
I run a power analysis based on the minimum effect size that would actually matter for the business decision, the expected baseline variance, and the desired statistical power, typically 80%. Skipping this step is how teams end up running underpowered experiments that can't reliably detect real effects, then wrongly concluding a change had no impact.
What's the difference between correlation and causation, and how do you establish the latter with observational data?
Correlation just means two variables move together, which can be driven by a third confounding factor rather than either variable causing the other. With observational data, I look for natural experiments, instrumental variables, or matching techniques to approximate a controlled comparison, since a true randomized experiment usually isn't available and correlation alone can't support a causal claim.
How would you choose between a simpler statistical model and machine learning approach for a forecasting problem?
For data with clear seasonal and trend patterns and limited history, a statistical model like ARIMA or exponential smoothing is often more reliable than machine learning, which typically needs more data to outperform simpler methods. I'd benchmark both against a holdout period rather than assuming the more complex option is automatically better.
How do you handle a situation where your model's predictions need to be explained to justify individual decisions?
I'd use an inherently interpretable model where possible, or apply a post-hoc explanation method like SHAP values on top of a more complex model if the added performance is worth the extra explanation layer. The explanation needs to be accurate to how the model actually makes decisions, not just a plausible-sounding story layered on afterward.
This listing calls for this tool directly. Prep for the technical screen:
Key responsibilities
- Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
- Create expert-level prompts, datasets, and reference solutions
- Identify flawed methodology, statistical errors, and weak quantitative reasoning
- Provide structured feedback that improves model capability
Why this role
Micro1's Data Scientist role pays $245-$280 per hour for quantitative professionals who can evaluate how AI models handle statistics, machine learning and experimentation. The work includes identifying flaws in model reasoning on data science problems and building reference solutions in Python and Pandas. This role targets data scientists coming from established companies rather than early-career analysts.
Talent pool
We're light on Data Science candidates
We've matched 9 people with a Data Science background against 293 Data Science listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.
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Common questions
Does Micro1 monitor your computer while you work?
On many projects, yes, through time-tracking tools that take periodic screenshots to verify active hours. Check the specific project's requirements before accepting if desktop monitoring is a dealbreaker.
What does the Micro1 application process look like?
Expect a screening interview with Zara, Micro1's AI recruiter. Prepare for it like a real video call: good lighting, clear audio, verbal answers to technical questions. A human manager reviews the recording afterward, and some roles add a short skills assessment on top.
What does the day-to-day workload look like for elite-expert AI training roles?
Slow and deep, not fast and repetitive. A single task can take 45-60 minutes of researching citations or verifying complex calculations. Quality is what's being measured here, not throughput.
Is AI training work the same as traditional consulting?
No. Instead of client deliverables, you're given complex scenarios to evaluate: grading the AI's logic, correcting its hallucinations, and supplying expert-level reasoning it doesn't have on its own. The job is closer to teaching than consulting.
What does Data Science work look like for a Data Scientist?
Tasks here are scoped to Data Science, not generic labeling. As a Data Scientist, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Data Science) rather than following a one-size-fits-all rubric. If you don't have hands-on Data Science background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Python, Machine Learning, Statistics, and Data Analysis are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.
What does the 'openings' count on this listing mean?
It's Micro1's live count of how many candidates it's still trying to place for this specific role, 100 right now, not a countdown on your individual application. A higher number signals more active demand; it doesn't lower the bar for acceptance.
How much does this specific role pay?
This listing is posted at $245–$280/hr, an hourly rate. The range reflects experience level and negotiated terms, not a placeholder, so where you land in it depends on your background and the assessment. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
What happens when I click Apply on this listing?
You'll be taken to Micro1's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.