At a Glance
- Tasks: Evaluate AI outputs, review text, and contribute voice recordings for diverse projects.
- Company: Join Lilt, a leader in AI and language technology.
- Benefits: Flexible hours, competitive pay, and quick payments.
- Other info: Be part of a global community and grow your skills across various industries.
- Why this job: Make an impact on cutting-edge AI projects while working on your own schedule.
- Qualifications: Fluency in English and experience with AI evaluation preferred.
The predicted salary is between 20 - 30 £ per hour.
We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others.
You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations.
What You'll Deliver
- Depending on the task, you may be asked to generate original content or assess AI-generated outputs.
- Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit.
- Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches.
- Provide concise, structured annotations that can be used directly for model improvement.
- Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards.
Qualifications
- Native fluency in the target language.
- Experience as AI reviewer, annotator, or evaluator preferred.
- Comfortable working with both textual and audio/video materials.
- Ability to follow detailed guidelines consistently and provide clear feedback.
- High attention to detail and ability to thoroughly and accurately categorize content.
Why Collaborate with Lilt?
- Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.
- Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.
- Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.
- Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.
- Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.
- Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are.
- Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.
How to join our expert community
- Submit your application including an updated copy of your CV in English.
- Complete a short assessment in SuperAnnotate to evaluate your annotation skills.
- Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects.
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
AI Data Expert - English (Scotland) - Remote in London employer: LILT (Production)
Contact Detail:
LILT (Production) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Expert - English (Scotland) - Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and don’t be shy about asking for advice or insights. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work, especially if you’ve done any AI reviewing or annotating before. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI evaluation and cultural context. Practice articulating your thoughts clearly and confidently, as this will help you stand out during the conversation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be part of a community that values your expertise and offers exciting projects.
We think you need these skills to ace AI Data Expert - English (Scotland) - Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of AI Data Expert. Highlight any relevant experience you have with AI reviewing, annotating, or evaluating, and don’t forget to showcase your attention to detail and analytical skills!
Showcase Your Local Insight: Since we’re looking for someone with a strong understanding of local cultural context, be sure to include examples in your application that demonstrate your knowledge of local norms and market expectations. This will help us see how you can contribute to culturally relevant content.
Follow the Guidelines: Pay close attention to the application guidelines provided. Following them closely shows us that you can adhere to detailed instructions, which is crucial for the role. Make sure to double-check your submission for clarity and accuracy!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into our system correctly and allows us to review it efficiently. Plus, it’s super easy!
How to prepare for a job interview at LILT (Production)
✨Know Your AI Stuff
Brush up on your knowledge of AI and its applications, especially in the context of language and cultural nuances. Be ready to discuss how you would evaluate AI-generated outputs and what factors you consider important for quality.
✨Showcase Your Attention to Detail
Prepare examples that highlight your analytical skills and attention to detail. Think about times when you've spotted errors or inconsistencies in content and how you addressed them. This will demonstrate your fit for the role.
✨Cultural Context is Key
Since this role requires a strong understanding of local cultural contexts, be prepared to discuss your insights into Scottish culture. Share specific examples of how cultural nuances can affect content evaluation and generation.
✨Practice Clear Communication
As you'll need to provide structured annotations and feedback, practice articulating your thoughts clearly and concisely. Consider doing mock interviews where you explain your evaluation process and reasoning behind your judgments.