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- Tasks: Evaluate AI content moderation decisions and ensure quality compliance.
- Company: Join a leading tech firm focused on online safety and integrity.
- Benefits: Competitive salary of £61,000 pro rata and hands-on experience.
- Why this job: Make a real impact on online safety while working with cutting-edge AI.
- Qualifications: 4+ years in content moderation or quality assurance required.
- Other info: Work in a dynamic environment with opportunities for professional growth.
The predicted salary is between 61000 - 61000 £ per year.
We are seeking experienced and detail-oriented Data Labelling Analyst to join the Integrity Operations team. In this role, you will help train cutting-edge AI models for content moderation, ensure the quality and accuracy of moderation decisions, develop golden sets, and support vendor calibration and performance.
This position involves exposure to sensitive and potentially graphic content, including violence, abuse, self-harm, derogatory language, and other disturbing material. Candidates must be comfortable working with such content as part of their daily responsibilities.
This is an exciting opportunity to contribute to platform integrity and help build safer online experiences for users worldwide.
Key Responsibilities- Evaluate and verify AI-generated content moderation decisions for accuracy and policy compliance.
- Create and maintain golden sets to assess and improve AI and vendor performance.
- Collaborate with vendor sites to improve quality, provide feedback, and implement calibration plans.
- Build strong vendor relationships and support their operational performance.
- Identify process improvement opportunities and partner with internal stakeholders to implement solutions.
- Analyze content and QA data to identify trends and inform quality strategies.
- Communicate with operations, policy, tech, and leadership teams to ensure alignment.
- Participate in training programs and stay updated on policies and industry standards.
- Review sensitive or graphic content as required.
- Assess impacts of online speech and test hypotheses within new operational tools and technologies.
- 4+ years of experience in content moderation, quality assurance, investigations, or similar fields.
- Strong understanding of content moderation policies and workflows.
- Excellent analytical, problem-solving, and communication skills.
- Proven experience working in structured, target-driven environments.
- High attention to detail and ability to work in fast-moving, frequently changing settings.
- Experience working with vendors or external partners (preferred).
- Familiarity with data analysis tools (preferred).
- Experience with content moderation tools or platforms.
- Certification in content moderation or related areas.
- Experience reviewing AI-generated conversations or chatbot interactions.
- Willingness to work with graphic and sensitive content.
- Policy rationalization experience.
This opportunity is an 11-month contract, fully on-site, based in London - UK, paying £61,000 per annum (pro rata). To hear more about this position or to discuss your suitability, please apply today!
Data Labelling Analyst - 11-month contract in Colchester employer: RECRUITERs
Contact Detail:
RECRUITERs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Labelling Analyst - 11-month contract in Colchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Labelling Analyst gig.
✨Tip Number 2
Prepare for the interview by brushing up on your content moderation knowledge. We recommend researching common questions and scenarios related to AI moderation. Show them you’re not just a fit on paper, but you’ve got the skills to back it up!
✨Tip Number 3
Don’t forget to showcase your analytical skills! During interviews, be ready to discuss how you’ve used data analysis tools in past roles. We want to see how you can contribute to improving AI performance and vendor relationships.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you started on this exciting journey together!
We think you need these skills to ace Data Labelling Analyst - 11-month contract in Colchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Labelling Analyst role. Highlight your experience in content moderation and any relevant skills that match the job description. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your skills can contribute to our Integrity Operations team. Keep it concise but impactful – we love a good story!
Showcase Your Attention to Detail: Since this role requires a high level of detail, make sure your application is free from typos and errors. We appreciate candidates who take the time to double-check their work, so let that shine through in your written application!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at RECRUITERs
✨Know Your Stuff
Make sure you brush up on content moderation policies and workflows. Familiarise yourself with the latest trends in AI and how they relate to content moderation. This will not only show your expertise but also demonstrate your genuine interest in the role.
✨Prepare for the Tough Questions
Given the nature of the job, be ready to discuss your experience with sensitive content. Think about how you've handled similar situations in the past and be prepared to explain your thought process. This will help you convey your comfort level and professionalism.
✨Showcase Your Analytical Skills
Since the role involves analysing content and QA data, come prepared with examples of how you've used data analysis tools in previous roles. Highlight any specific instances where your analytical skills led to improvements in processes or outcomes.
✨Build Rapport with the Interviewers
Remember, this is a team-oriented role. Show your ability to collaborate by asking insightful questions about the team dynamics and vendor relationships. This will help you connect with the interviewers and demonstrate that you're a team player.