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- Tasks: Analyse documents and validate AI-generated data with precision.
- Company: Join a forward-thinking team focused on AI and data integrity.
- Benefits: Earn $25-$30/hr, work remotely, and enjoy flexible hours.
- Other info: Perfect for those seeking part-time work with growth potential.
- Why this job: Make a real impact by enhancing AI extraction quality.
- 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 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
✨Tip Number 1
Network like a pro! Reach out to folks 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 by practising common questions related to data analysis and document review. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers. It’ll help you showcase your skills effectively!
✨Tip Number 3
Show off your skills with a portfolio! If you’ve done any data annotation or document review work before, compile examples to demonstrate your attention to detail and accuracy. We love seeing real-world applications of your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s super easy and gives you a direct line to us. Plus, we’re always on the lookout for passionate candidates who are ready to dive into the world of data analysis and AI.
We think you need these skills to ace Data Analyst - AI | $30/hr Remote
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 relevant projects or tasks you've tackled!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your attention to detail can contribute to our team. Keep it concise but impactful!
Showcase Your Skills: When filling out your application, emphasise your familiarity with JSON structure and your ability to validate data. We love seeing candidates who can demonstrate their technical know-how alongside their analytical skills.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Data
Before the interview, brush up on your knowledge of data annotation and document review. Familiarise yourself with JSON structures and practice validating data accuracy. This will help you confidently discuss your experience and demonstrate your understanding of the role.
✨Showcase Attention to Detail
Prepare examples that highlight your attention to detail. Think of specific instances where you caught discrepancies in data or improved a process. Being able to articulate these experiences will show the interviewer that you can handle the precision required for this position.
✨Practice Your Math Skills
Since the role involves validating mathematical accuracy, it’s a good idea to brush up on basic math operations. You might even want to prepare for potential math-related questions during the interview to showcase your comfort with numbers.
✨Collaborative Mindset
The job requires collaboration with team members to drive process improvements. Be ready to discuss how you've worked with others in the past, especially in resolving ambiguous cases. Highlighting your teamwork skills will make you a more attractive candidate.