Data Annotator in Milton Keynes

Data Annotator in Milton Keynes

Milton Keynes Part-Time 12 - 15 £ / hour (est.) Working from home possible
Innodata Inc.

At a Glance

  • Tasks: Evaluate and improve AI outputs while working on your own schedule.
  • Company: Join a leading tech company shaping the future of Generative AI.
  • Benefits: Flexible remote work, perfect for students and freelancers.
  • Other info: Ideal for those passionate about AI and content evaluation.
  • Why this job: Contribute to cutting-edge AI development and make a real impact.
  • Qualifications: High school diploma, strong English skills, and attention to detail.

The predicted salary is between 12 - 15 £ per hour.

Open to students & recent graduates

Location: Remote

Job Type: Part-time | Freelance | Project-based

At Innodata, we collaborate with some of the world's leading technology companies to build the future of Generative AI and Large Language Models (LLMs). We're looking for curious, detail-oriented, and language-savvy individuals to join our global contributor network as part of our SME on Demand program. This is a flexible, remote opportunity—perfect for students, freelancers, researchers, educators, and professionals who want to contribute to cutting-edge AI development while working on their own schedule. You won't just be working with AI—you'll be helping shape how it thinks, learns, and responds.

What You'll Do

  • Evaluate and rate AI-generated outputs based on quality, accuracy, and relevance
  • Label and categorize different types of content
  • Assess appropriateness and usefulness of responses
  • Create prompts to test and improve AI systems
  • Rank outputs based on defined guidelines
  • Rewrite, paraphrase, and summarize content
  • Translate or transcribe content (if applicable)
  • Generate additional training data to improve model performance
  • Identify issues in AI responses and provide structured feedback
  • Work on projects involving text, audio, video, or image data

What We're Looking For

  • High School Diploma or higher
  • Professional/Expert English proficiency (C1/C2)
  • Strong analytical and comprehension skills
  • Attention to detail and ability to follow guidelines
  • Interest in AI, language, or content evaluation
  • Ability to work independently in a remote setup

How to Apply

If this sounds interesting, apply now by completing a short registration form.

Data Annotator in Milton Keynes employer: Innodata Inc.

At Innodata, we pride ourselves on being an excellent employer by offering a flexible and remote work environment that caters to students and recent graduates. Our collaborative culture fosters innovation and personal growth, allowing you to contribute to groundbreaking AI projects while working on your own schedule. Join us to be part of a global network where your insights will directly influence the future of technology.

Innodata Inc.

Contact Details:

Innodata Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Annotator in Milton Keynes

Tip Number 1

Network like a pro! Reach out to friends, family, or even former classmates who might have connections in the AI field. A personal recommendation can go a long way in landing that Data Annotator gig.

Tip Number 2

Show off your skills! Create a portfolio showcasing any relevant projects or experiences you’ve had with AI or data annotation. This will help you stand out and demonstrate your capabilities to potential employers.

Tip Number 3

Stay active on job boards and social media! Follow companies like Innodata and engage with their posts. This not only keeps you updated on new opportunities but also shows your interest in the field.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team and contributing to the exciting world of AI.

We think you need these skills to ace Data Annotator in Milton Keynes

Analytical Skills
Attention to Detail
Language Proficiency (C1/C2 English)
Content Evaluation
Independent Work
Guideline Adherence
AI Understanding

Some tips for your application 🫡

Show Your Curiosity:When you're applying for the Data Annotator role, let your curiosity shine through! Share any experiences or projects that highlight your interest in AI and language. We love seeing candidates who are genuinely excited about the field.

Be Detail-Oriented:Since attention to detail is key for this position, make sure your application is free from typos and errors. We want to see that you can follow guidelines and present information clearly. A polished application speaks volumes!

Highlight Relevant Skills:Don’t forget to showcase your analytical skills and any experience with content evaluation. If you've worked on similar projects before, mention them! We’re looking for individuals who can assess quality and relevance effectively.

Apply Through Our Website:Ready to jump in? Make sure to apply through our website! It’s the easiest way for us to receive your application and get to know you better. We can’t wait to see what you bring to the table!

How to prepare for a job interview at Innodata Inc.

Know Your AI Basics

Before the interview, brush up on your understanding of AI and how it works. Familiarise yourself with terms like Generative AI and Large Language Models. This will not only show your interest but also help you engage in meaningful conversations during the interview.

Showcase Your Attention to Detail

Since the role requires a keen eye for detail, prepare examples from your past experiences where you demonstrated this skill. Whether it's a project at university or freelance work, be ready to discuss how you ensured accuracy and quality in your tasks.

Practice Your English Proficiency

As the job demands a high level of English proficiency, consider doing a mock interview with a friend or using online platforms. Focus on articulating your thoughts clearly and confidently, as this will reflect your language skills effectively.

Prepare Questions About the Role

Interviews are a two-way street! Prepare thoughtful questions about the projects you'll be working on and the team dynamics. This shows your enthusiasm for the role and helps you gauge if it's the right fit for you.