Innodata Inc.
🇬🇧 UK AI Data Annotation Specialist

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UK AI Data Annotation Specialists
We are looking for UK AI Data Annotation Specialists to support Artificial Intelligence and Machine Learning projects. The role primarily involves image annotation, data labeling, categorization, and data quality review.
This is a student-friendly freelancing opportunity, and students, fresh graduates, and individuals looking to start a career in AI and data operations are encouraged to apply.
Key Responsibilities
- Annotate and label images and datasets according to project guidelines.
- Perform image classification, object identification, tagging, and categorization.
- Review and validate annotated data for accuracy and consistency.
- Work with English-language data while maintaining accuracy and contextual understanding.
- Identify and correct annotation errors.
- Follow project-specific instructions and quality standards.
- Maintain accuracy and productivity while completing assigned tasks.
- Collaborate with project and quality teams when clarification is required.
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.
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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.
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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.
Requirements
- Strong English proficiency, particularly reading and comprehension.
- Good written communication skills.
- Strong attention to detail and accuracy.
- Good computer and internet skills.
- Ability to follow detailed instructions and guidelines.
- Good communication and time-management skills.
- Ability to work independently as well as part of a team.


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Preferred Skills
- Previous experience in data annotation, data labeling, content moderation, or quality assurance.
- Familiarity with AI, Machine Learning, Computer Vision, or NLP.
- Experience with image annotation or data-labeling platforms.
- Strong understanding of English language and context.
Why Join?
- Gain hands-on exposure to AI and Machine Learning projects.
- Build practical experience in AI data operations and annotation.
- Student-friendly opportunities depending on project requirements.
- Opportunity to develop skills in the growing AI industry.
“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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