At a Glance
- Tasks: Evaluate and refine AI-generated content for accuracy and clarity.
- Company: Join a forward-thinking team at SME Careers.
- Benefits: Flexible hours, competitive pay, and opportunities for growth.
- Why this job: Make a real impact on AI technology while honing your linguistic skills.
- Qualifications: Bachelor’s degree in English or related field; strong command of English required.
- Other info: Ideal for detail-oriented individuals passionate about language and technology.
The predicted salary is between 30000 - 50000 ÂŁ per year.
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About the Role
As an English Linguistic Expert, you will evaluate and refine AI-generated content through Reinforcement Learning from Human Feedback (RLHF). Your primary task will be to assess the accuracy, clarity, and coherence of AI responses, focusing on language use, reasoning quality, and factual correctness.
This role requires a strong command of English, an analytical mindset, and the ability to fact‑check across a wide range of topics. You will also engage in light quantitative reasoning (e.g., basic math and logic checks) to ensure responses are both linguistically and logically sound.
Responsibilities
- Assess the accuracy, clarity, and coherence of AI responses, focusing on language use, reasoning quality, and factual correctness.
- Evaluate linguistic accuracy, grammar, syntax, semantics, and logical structure.
- Perform basic quantitative reasoning and fact‑checking using credible public sources.
Your Profile
- Bachelor’s degree in English, Linguistics, Communications, or a related field.
- Expert command of English (C1 level or higher) with exceptional grammar and writing skills.
- Proficiency in college‑level mathematics or quantitative reasoning.
- Excellent at high school‑level mathematics and basic logical reasoning.
- Proficient in fact‑checking using credible public sources across domains (non‑code areas such as medical, legal, or financial).
- Significant experience using Large Language Models (LLMs) such as ChatGPT, Claude, or Gemini.
- Strong attention to detail and ability to follow structured evaluation guidelines.
Application & Onboarding Process
- Apply via SME Careers.
- Qualification exam (1–2 hours): evaluates your role‑specific expertise. Compensation provided upon passing.
- Project exam (1–2 hours): evaluates your adherence to project guidelines and ability to produce English‑specific deliverables. Compensation provided upon passing.
Why Work with SME Careers?
- Shape the Future of AI: Your work directly contributes to how AI systems learn and communicate.
- Your Schedule, Your Rules: Set your own hours and work around your life.
- Weekly Pay: Receive fast, reliable weekly payments once your work is approved.
- Community Rewards: Help grow our network and get rewarded for your referrals — with ongoing passive income for every hire you refer.
Seniority level
Mid‑Senior level
Employment type
Contract
Job function
Training and Research
Industries
Technology, Information and Internet
Referrals increase your chances of interviewing at SME Careers by 2x
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English linguists for AI Data Training employer: SME Careers
Contact Detail:
SME Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land English linguists for AI Data Training
✨Tip Number 1
Network like a pro! Reach out to people in the industry, join relevant groups on social media, and attend events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to AI and linguistics. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience with AI data training and any relevant projects. This will give potential employers a clear view of what you bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace English linguists for AI Data Training
Some tips for your application 🫡
Show Off Your English Skills: Make sure your application highlights your command of English. Use clear and precise language, and don’t shy away from showcasing your grammar and writing prowess. We want to see that you can communicate effectively right from the get-go!
Be Analytical: Since this role involves evaluating AI-generated content, demonstrate your analytical mindset in your application. Share examples of how you've assessed writing for clarity and accuracy in the past. We love seeing that critical thinking shine through!
Highlight Relevant Experience: If you've worked with Large Language Models or have experience in fact-checking, make sure to mention it! We’re looking for candidates who can bring their expertise to the table, so don’t hold back on sharing your relevant background.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at SME Careers
✨Know Your Linguistics
Brush up on your English grammar, syntax, and semantics before the interview. Be ready to discuss specific examples of how you've evaluated AI-generated content in the past, as this will show your expertise and analytical mindset.
✨Showcase Your Fact-Checking Skills
Prepare to demonstrate your ability to fact-check across various topics. Bring along examples of how you've used credible public sources to verify information, as this is crucial for the role.
✨Get Comfortable with Quantitative Reasoning
Since the role involves light quantitative reasoning, practice some basic math and logic problems beforehand. This will help you feel confident when discussing your approach to ensuring responses are logically sound.
✨Familiarise Yourself with LLMs
Make sure you're well-versed in using Large Language Models like ChatGPT or Claude. Be prepared to talk about your experience with these tools and how they can aid in evaluating AI content effectively.