At a Glance
- Tasks: Evaluate AI models and transform data for cutting-edge language technology.
- Company: Join TELUS Digital, a leader in innovative AI solutions.
- Benefits: Competitive pay, flexible remote work, and a chance to shape AI systems.
- Other info: Be part of a diverse global community with excellent growth opportunities.
- 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) employer: TELUS Digital
At TELUS Digital, we pride ourselves on fostering a vibrant and inclusive work culture that empowers our employees to innovate and excel. As a remote Data Scientist, you will join a diverse global community, enjoying flexible engagement while contributing to cutting-edge AI projects that impact millions. With opportunities for professional growth and collaboration across various domains, TELUS Digital is an excellent employer for those seeking meaningful and rewarding work in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist: AI Eval & LLM Data Wrangling (Remote)
✨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. It’s all about making connections!
✨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 practice problems to get you in the zone.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data science projects, make sure to highlight them during interviews. We love seeing real-world applications of your skills, so be ready to discuss your approach and results.
✨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.
We think you need these skills to ace Data Scientist: AI Eval & LLM Data Wrangling (Remote)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data manipulation, model evaluation, and any relevant projects that showcase your skills in Python or SQL. We want to see how you can interrogate data like a pro!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at TELUS Digital. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills:Don’t forget to mention your technical skills! Whether it's your proficiency in Python, SQL, or Excel, make sure we know what tools you’re comfortable with. This is crucial for the data-wrangling tasks you'll be tackling.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at TELUS Digital
✨Know Your Data Inside Out
Before the interview, dive deep into the data science concepts relevant to the role. Brush up on your knowledge of model evaluation frameworks and be ready to discuss how you would approach diagnosing model performance and identifying biases.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in data manipulation tools like Python or SQL. You might be asked to solve a problem on the spot, so practice coding challenges that involve data wrangling and analysis to showcase your skills effectively.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific data-related challenges. Think about past experiences where you detected trends or provided insights from data, and be ready to explain your thought process and the impact of your work.
✨Communicate Clearly and Confidently
Since English proficiency is a requirement, practice explaining complex data concepts in simple terms. This will not only help you during the interview but also demonstrate your ability to communicate effectively with diverse teams at TELUS Digital.
