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- Tasks: Analyse documents and validate AI-generated data with precision.
- Company: Remote-friendly company focused on AI and data integrity.
- Benefits: Earn $25-$30/hr, flexible hours, and work from anywhere.
- Other info: Perfect for students seeking part-time remote work with growth potential.
- Why this job: Join a team enhancing AI quality while honing your analytical skills.
- Qualifications: Experience in data annotation and strong attention to detail required.
The predicted salary is between 25 - 30 £ per hour.
Position: Document Annotation Specialist
Type: Contract
Compensation: $25 - $30/hour
Location: Remote
Commitment: 10-40 hrs/week
Role Responsibilities
- Receive and analyze source PDF documents alongside AI-generated JSON extractions and predefined schemas.
- Perform field-by-field comparisons between original documents and extracted data, correcting discrepancies and errors.
- Validate complex data, including mathematical accuracy of line-item totals, summaries, and cross-references.
- Ensure data integrity by reviewing, annotating, and verifying hundreds of fields per document with attention to detail.
- Document and escalate ambiguous cases, collaborating with team members to drive process improvements.
- Contribute to the enhancement of AI extraction quality by identifying edge cases and annotation challenges.
Requirements
- Have demonstrated experience in data annotation, document review, QA, or proofreading with a focus on accuracy and precision.
- Possess strong English reading comprehension, capable of navigating dense, multi-page PDFs, tables, and financial data.
- Have working knowledge of JSON structure and the ability to verify value placements within nested schemas.
- Exhibit advanced attention to detail with a proven ability to check hundreds of fields per document without errors.
- Be comfortable with basic math operations and validations.
Application Process
- Easy Apply on LinkedIn
- Participate in resume evaluation & interview stage
Data Analyst - AI | $30/hr Remote in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - AI | $30/hr Remote in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, join relevant groups on LinkedIn, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews! Research common questions for Data Analyst roles and practice your answers. We recommend using the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your skills effectively.
✨Tip Number 3
Showcase your skills with a portfolio! If you’ve worked on any data annotation or analysis projects, compile them into a neat portfolio. This gives potential employers a tangible look at what you can do, and we all love a good visual!
✨Tip Number 4
Apply through our website! It’s super easy and ensures your application gets seen. Plus, we’re always on the lookout for talented individuals like you, so don’t miss out on the chance to join our team!
We think you need these skills to ace Data Analyst - AI | $30/hr Remote in London
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience in data annotation and document review. We want to see how your skills match the role, so don’t be shy about showcasing your attention to detail and accuracy!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data integrity and how your background makes you a perfect fit for the role. We love seeing enthusiasm and personality!
Showcase Relevant Skills: Mention your familiarity with JSON structure and any experience you have with validating data. We’re looking for candidates who can hit the ground running, so make sure we know you’ve got the right skills!
Apply Through Our Website: While you can apply via LinkedIn, we encourage you to submit your application through our website. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Data
Before the interview, brush up on your data annotation and document review skills. Familiarise yourself with JSON structures and practice validating data accuracy. This will help you speak confidently about your experience and demonstrate your technical knowledge.
✨Attention to Detail is Key
Since the role requires a keen eye for detail, prepare examples from your past work where you successfully identified discrepancies or errors in data. Be ready to discuss how you ensured data integrity and what processes you followed to maintain accuracy.
✨Practice Makes Perfect
Consider doing mock interviews with a friend or using online resources. Focus on articulating your thought process when analysing documents and correcting errors. This will help you communicate clearly during the actual interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI extraction quality and how they handle ambiguous cases. This shows your genuine interest in the role and helps you understand their expectations better.