Rex.zone
Remote Data Labeling Specialist (Manchester)

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Remote Data Labeling Jobs in Manchester
Rex.zone is hiring Remote Data Labeling Specialists targeted to Manchester candidates. You will create and review labeled datasets used to train and evaluate AI models, including NLP, computer vision, content safety labeling, and large language model evaluation workflows (RLHF and prompt evaluation).
What You Will Do
- Label and review text and multimodal data for NLP and computer vision annotation tasks
- Perform RLHF preference ranking and QA evaluation to support large language model evaluation
- Execute prompt evaluation for instruction-following, truthfulness, and helpfulness signals
- Apply content safety labeling policies with consistent rationale and documentation
- Track training data quality metrics (gold sets, consensus review, adjudication outcomes, agreement rates) and escalate guideline gaps
- Maintain clear audit trails: decision notes, disagreement reasons, and edge-case documentation
- Work in secure environments and follow data handling and confidentiality requirements
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.
Required Qualifications
- Mid-Senior experience in data labeling, data annotation, QA evaluation, or related data operations roles
- Strong attention to detail and ability to follow complex annotation guidelines compliance
- Experience with named entity recognition (NER), classification taxonomies, or structured labeling schemas
- Comfort working with ambiguous language and edge cases in LLM training pipelines
- Ability to communicate labeling rationale clearly and consistently for reviewer alignment
- Stable internet connection and ability to work effectively in a fully Remote setup


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Compensation
- Hourly base pay range: $30–$50 per hour (USD).
- Employment Type: Full-time.
- Workplace Type: Remote (Manchester-targeted).
“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
Skills