Alignerr
Machine Learning Engineer

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Machine Learning Engineer
Machine Learning Engineer (AI Data Trainer)
About the Role
What if your deep technical expertise could directly shape how the world's most advanced AI models reason, plan, and solve problems? We're looking for Machine Learning Engineers to help train cutting-edge AI by producing high-quality reasoning data — the kind that teaches models to think like true experts.
This is a fully remote, flexible contract role built for experienced ML and engineering professionals who want to work on something that genuinely matters. You won't just be using AI — you'll be shaping how it thinks.
Organization
Alignerr
Type
Hourly Contract
Location
Remote
Commitment
10–40 hours/week
What You'll Do
- Produce precise, well-structured reasoning logs that walk through complex technical problems step by step
- Document sequential decision-making and strategic tool use in ways that AI models can learn from
- Generate high-quality training datasets that demonstrate expert-level problem-solving in real environments
- Review and refine AI-generated reasoning chains, catching gaps, errors, and logical inconsistencies
- Translate sophisticated ML concepts and workflows into clear, structured, reproducible documentation
- Work independently and asynchronously — fully on your own schedule
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who You Are
- Professional background in Machine Learning, Software Engineering, or a related technical discipline
- Able to explain complex reasoning processes with precision and clarity — not just what you did, but why
- Strong critical thinker who can audit multi-step reasoning and identify where logic breaks down
- Detail-oriented and methodical — you take quality seriously and it shows in your work
- Comfortable working independently on technically demanding tasks without hand-holding
- Master’s Degree or PhD in a relevant technical field


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Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation workflows
- Familiarity with large language models (LLMs) and how they're trained or fine-tuned
- Background in AI safety, alignment research, or model evaluation
- Experience writing technical documentation, research notes, or structured problem-solving guides
Why Join Us
- Work alongside world-leading AI research labs on genuinely cutting-edge projects
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact technical work
- Gain rare, first-hand exposure to how frontier LLMs are built and trained
- Contribute directly to AI systems that will influence how technology reasons for years to come
- Potential for ongoing work and contract extension as new projects launch
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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