AI Engineer
Micro1 • Remote
Education
Master's
Type
Per task
Pay Rate
$60–$120/task
Actively Hiring
100 openings
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From the Micro1 listing
Job Title: AI Engineer Job Type: Contractor (~15 hrs a week) Location: Remote Schedule: Flexible, you pick the hours and days (including weekends if desired) 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. As an expert you will be creating Reinforcement Learning Environments which test an AI model’s ability to solve complex software engineering problems using Model Context Protocol (MCP) tools. Tasks may involve fixing bugs, implementing features, refactoring code, or optimizing performance while requiring agents to discover and reason over information from real MCP servers. You will design reproducible environments, deterministic verification, and golden reference solutions that accurately measure both MCP tool use and software engineering ability.
Required Skills and Qualifications
- Proficiency in C++, Python, JAVA, GoLang, Typescript, or Rust.
- Deep understanding of algorithms, data structures, and performance tuning.
- Demonstrated experience in debugging complex software issues and delivering maintainable solutions.
- Strong background in feature development and codebase refactoring.
- Proven ability to optimize software for performance and scalability.
- Exceptional written and verbal communication skills, with a keen attention to detail.
- Track record of success in collaborative, cross-functional teams, ideally in remote settings.
Preferred Qualifications
- Previous experience working on large-scale, distributed codebases.
- Familiarity with modern AI or machine learning systems is a plus, though not required.
- Background in participating in rigorous code reviews and contributing to the development of software best practices.
Process
- Apply to the role, filling out the screening questions
- Complete AI Interview (approx. 30 minutes)
- Technical Assessment (Tentative)
- Hiring Manager review
Compensation Structure
Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
Start Timeline & Availability
We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
Requirements
- Python3
- JAVA
- Rust
- Algorithms
- Basics C++
- Typescript
- bug fixing
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 AI Engineer role, written in-house to help you prepare.
How do you decide which evaluation metric to optimize for a classification model when the classes are imbalanced?
Accuracy is misleading on imbalanced data because a model can score well by always predicting the majority class. I look at precision, recall, and F1 for the minority class specifically, and pick the metric that matches the real cost of false positives versus false negatives in the deployment context, since those costs are rarely symmetric in practice.
What is your process for debugging a deep learning model that trains fine but performs poorly at inference time?
I start by checking for a train/inference mismatch: different preprocessing, batch normalization behaving differently in eval mode, or data leakage during training that inflated validation scores. Comparing the exact input pipeline used at training time against the one used at inference usually surfaces the discrepancy before I need to touch the model architecture itself.
How do you approach feature selection when working with high-dimensional tabular data?
I start with correlation and mutual information analysis to drop obviously redundant features, then use a tree-based model's feature importance as a first pass filter. From there, recursive feature elimination with cross-validation tells me where the marginal value of additional features drops off, which keeps the final feature set both smaller and more robust to overfitting.
Explain how you would detect and address data drift in a production machine learning pipeline.
I monitor the statistical distribution of input features and model outputs over time, using something like population stability index or KL divergence against a reference window. When drift crosses a threshold, I retrain on recent data rather than the full historical set, and I keep an alert in place so drift is caught before it shows up as a quality regression.
This listing calls for these tools directly. Prep for the technical screen:
Why this role
The AI Engineer role at micro1, in the Software Engineering domain, pays $60-$120 per task for engineers building Reinforcement Learning environments across Python, Java, Rust and C++. The work runs about 15 hours a week on a flexible schedule, with tasks covering algorithm design and testing rather than a single language stack. The engineering skill itself is the qualification for this role.
Skills and categories
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Common questions
Can I apply to Micro1 from outside the US or UK?
Yes. Micro1 accepts applicants from most countries worldwide, unlike DataAnnotation or Outlier, both of which cap access to a handful of English-speaking countries. Most roles still require strong written and spoken English.
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 asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
What does Software Engineering work look like for an AI Engineer ?
Tasks here are scoped to Software Engineering, not generic labeling. As an AI Engineer , expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Software Engineering) rather than following a one-size-fits-all rubric. If you don't have hands-on Software Engineering background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Python3, JAVA, Rust, and Algorithms 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 $60–$120/task, a per-task 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.
How does per-task pay translate to an hourly rate?
It doesn't directly, that's the catch. Each task has a listed price and an estimated completion time, but your actual effective rate depends on how fast you work. If a task is estimated at 20 minutes and pays $8, that is $24/hr for a fast worker and $12/hr for a slow one. Track your actual time on the first few tasks before treating the listed rate as your real hourly income.
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.
Do I need a Master's to qualify?
This role lists a master's degree as a requirement. In practice, the domain assessment is the real gate. If you can pass it, the degree is usually secondary. However, some platforms verify credentials formally, so list your actual qualifications accurately on your profile.