At a Glance
- Tasks: Design and evaluate AI responses while ensuring data accuracy and relevance.
- Company: Join a forward-thinking team focused on AI quality and personalization.
- Benefits: Earn $11.5/hr with flexible remote work and valuable experience.
- Other info: Ideal for self-motivated individuals seeking short-term, impactful work.
- Why this job: Make an impact in the AI field while honing your analytical skills.
- Qualifications: Fluent in English with strong analytical and communication skills.
The predicted salary is between 11.5 - 11.5 £ per hour.
Position: LLM AI Quality Analyst (Personalization)
Type: Short-Term Contract
Location: Remote
Commitment: 30-40 hours/week
Compensation: $11.5/hr
Engagement Length: 1 month
Start Date: Immediate
Role Responsibilities
- Design multi-turn conversational prompts based on personal context
- Evaluate personalized AI responses for relevance, grounding, and helpfulness
- Assess correct and incorrect use of personal data in model outputs
- Perform side-by-side (SxS) evaluation and ranking of AI responses
- Identify grounding errors, poor inferences, and forced personalization
- Write clear, structured rationales referencing specific conversation turns
- Extract and verify model debug information and data source usage
- Maintain strict data hygiene by deleting evaluation conversations
Requirements
- English fluency (reading and writing)
- Strong experience in data annotation, AI quality evaluation, content moderation, or related roles
- Strong analytical thinking and attention to detail
- Ability to evaluate nuanced and ambiguous AI responses
- Comfortable using a primary personal Google account with enabled data sources
- BS/BA degree or equivalent experience in a relevant analytical field
- Strong written communication and structured feedback skills
- Self-motivated and able to work independently in a remote setting
Data Analyst (English) | $11.5/hr Remote in London employer: Crossing Hurdles
Join a forward-thinking company that values innovation and quality in AI technology. As a Data Analyst, you'll enjoy a flexible remote work environment that promotes a healthy work-life balance, alongside opportunities for professional growth and development. With a commitment to employee well-being and a culture of collaboration, this role offers a unique chance to contribute meaningfully to the evolution of AI personalization.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (English) | $11.5/hr Remote in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Crossing Hurdles before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Crossing Hurdles.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Crossing Hurdles.
We think you need these skills to ace Data Analyst (English) | $11.5/hr Remote in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Crossing Hurdles, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Crossing Hurdles, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Crossing Hurdles’s attention and show the tangible impact of your work.
How to prepare for a job interview at Crossing Hurdles
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Crossing Hurdles.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Crossing Hurdles.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Crossing Hurdles.
