At a Glance
- Tasks: Evaluate AI models and transform data for cutting-edge language technologies.
- Company: Join TELUS Digital, a leader in innovative AI solutions.
- Benefits: Flexible remote work, competitive pay, and a chance to shape AI systems.
- Other info: Be part of a diverse global community of over 1 million contributors.
- Why this job: Make a real impact on AI technology used by millions globally.
- Qualifications: Bachelor’s degree in a relevant field and basic data manipulation skills.
The predicted salary is between 40000 - 100000 £ per year.
At TELUS Digital, data is the lifeblood of our innovation, and as a data scientist, you are the guardian of its quality. We don't just process data; we interrogate it. You will perform rigorous diagnostic testing on model performance to uncover hidden biases, identify performance "plateaus," and provide the statistical evidence we need to push AI "intelligence" to the next level.
Key Responsibilities
- Architect and execute evaluation frameworks to measure model accuracy, helpfulness, and safety across massive datasets.
- Perform advanced data-wrangling to transform raw text into optimized training sets for Large Language Models (LLMs).
- Detect and visualize complex trends in model failures, providing actionable insights that guide the next phase of AI training.
- Develop automated scripts to monitor the consistency of human-annotated data, ensuring the quality standards of TELUS Digital are met.
Mandatory Qualifications
- Education: Minimum of a Bachelor’s Degree in Data Science, Mathematics, Statistics, Physics, or a related technical field.
- English Proficiency: Minimum B1 (Intermediate) level English to communicate data trends.
- Language: Native-level fluency in at least one language.
- Technical Skills: Basic proficiency in data manipulation (e.g., Python, SQL, or Excel).
Assessment
In order to be hired into our community, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification.
Payment
Currently, pay rates for experts range from $20 - $50 USD per hour. Our payment terms are defined for each project.
Why Join the TELUS Digital AI Community
- Community Connection: Work remotely as part of a 1M+ diverse global AI Community of contributors and experts.
- Impactful Expertise: Use your native language and academic degree to shape real-world AI systems and products used by millions every day.
- Hands-on Innovation: Gain experience in the latest AI research, evaluation, and fine-tuning methodologies.
- Global Collaboration: Collaborate with a network of specialists across 20+ domains and 500+ languages and dialects.
- Flexible Engagement: Manage your own schedule while making a meaningful impact on the future of technology.
All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.
Data Scientist: AI Eval & LLM Data Wrangling (Remote) in London employer: TELUS Digital
At TELUS Digital, we pride ourselves on fostering a vibrant and inclusive work culture that empowers our data scientists to thrive. With the flexibility of remote work, you can manage your own schedule while collaborating with a diverse global community of experts, gaining hands-on experience in cutting-edge AI methodologies. Join us to make a meaningful impact on technology and enjoy opportunities for professional growth in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist: AI Eval & LLM Data Wrangling (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at TELUS Digital on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the application process. Personal connections can give you an edge!
✨Tip Number 2
Prepare for that qualification exam! Brush up on your data science skills, especially in Python and SQL. We recommend doing some mock tests or online courses to get comfortable with the types of questions you might face.
✨Tip Number 3
Show off your projects! If you've worked on any relevant data science projects, make sure to highlight them during interviews. We love seeing how you’ve tackled real-world problems, especially those related to AI and data wrangling.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest job openings and updates directly from us at TELUS Digital.
We think you need these skills to ace Data Scientist: AI Eval & LLM Data Wrangling (Remote) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical skills in data manipulation, like Python or SQL. We want to see how you can wrangle data and make it work for you!
Be Clear and Concise:When you're writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experience and qualifications.
Tailor Your Application:Don’t just send a generic application! Tailor it to the role by mentioning specific responsibilities from the job description. Show us why you’re the perfect fit for this Data Scientist position.
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 and shows us you’re serious about joining our team!
How to prepare for a job interview at TELUS Digital
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you'll be working with. Familiarise yourself with common biases and performance metrics relevant to AI models. This will not only show your passion but also your readiness to tackle the challenges at TELUS Digital.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data manipulation tools like Python, SQL, or Excel. Bring examples of past projects where you transformed raw data into actionable insights. This practical demonstration of your skills can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach diagnosing model failures or visualising complex trends. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Communicate Clearly and Confidently
Since English proficiency is a requirement, practice explaining your ideas and findings in clear, concise language. Use visual aids if possible to demonstrate your points. This will not only help you communicate effectively but also showcase your ability to present data trends to diverse audiences.
