Document Review Specialist
Alignerr · Bengaluru, Karnataka, India
- Hybrid
- Contract
- $40,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Review and annotate diverse real-world documents.
- Classify, extract, and label data for AI systems.
- Follow detailed annotation guidelines precisely.
- Work independently on a flexible schedule.
- Contribute to cutting-edge AI development.
About the role
About The Role
What if your sharp eye for detail could directly influence how AI understands the written world? We're looking for Document Review Specialists in the Bangalore area to read, annotate, and classify real-world documents — helping AI systems make sense of everything from news articles and research papers to financial reports and government forms.
This is a fully remote, flexible contract role open to anyone with strong reading comprehension and a systematic mindset. No prior AI, legal, or document management experience needed — just the ability to read carefully, follow clear guidelines, and deliver consistent quality.
Organization
Alignerr
Type
Hourly Contract
Location
Remote
Commitment
10–40 hours/week
What You'll Do
- Read and annotate a wide variety of documents — articles, reports, forms, and more
- Classify document sections, extract key information, and label important data points
- Identify entities, dates, relationships, and structures within text
- Follow detailed annotation guidelines with precision and consistency
- Maintain a high standard of accuracy across large document sets
- Work independently and asynchronously on your own schedule
Who You Are
- Strong reading comprehension and ability to process diverse document types
- Naturally detail-oriented with a systematic, methodical approach
- Comfortable following structured guidelines and applying them consistently
- Self-motivated and reliable when working independently
- No legal, academic, or document management background required
Nice to Have
- Experience in research, editing, data entry, or administrative work
- Familiarity with annotation tools or content review platforms
- Background in information management, library science, or journalism
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Contribute to AI development that shapes how technology understands human knowledge
- Potential for ongoing work and contract extension as new projects launch
Key skills/competency
- Document Review
- AI Training
- Annotation
- Classification
- Information Extraction
- Data Labeling
- Reading Comprehension
- Attention to Detail
- Guideline Adherence
- Remote Work
Skills & topics
- Document Review
- AI Training
- Annotation Specialist
- Data Classifier
- Remote Contract
- Information Extraction
- Labeling Specialist
- Content Review
- Accuracy
- Detail-Oriented
How to get hired
- Tailor your resume: Highlight attention to detail and systematic approach. Use keywords like 'document review', 'annotation', and 'data classification'.
- Craft a compelling cover letter: Emphasize your strong reading comprehension and ability to follow instructions precisely for AI training.
- Showcase your skills: If you have experience with research, editing, or data entry, mention it to demonstrate relevant abilities.
- Prepare for the process: Be ready to demonstrate your meticulousness and ability to work independently in a remote setting.
Technical preparation
Practice annotating text using online examples.,Familiarize yourself with data labeling concepts.,Develop speed and accuracy in reading tasks.,Understand the importance of following guidelines.
Behavioral questions
Describe a time you followed complex instructions.,How do you ensure accuracy in repetitive tasks?,How do you manage your time working alone?,Give an example of your attention to detail.
Frequently asked questions
- What are the primary responsibilities of a Document Review Specialist at Alignerr?
- As a Document Review Specialist for Alignerr, your main tasks involve reading, annotating, and classifying various types of real-world documents. You'll be extracting key information, labeling data points, and identifying entities and structures to help train AI systems. The role emphasizes meticulous adherence to guidelines and maintaining high accuracy.
- Do I need prior experience in AI or document management to apply for this role?
- No, prior experience in AI, legal, or document management is not required for this Document Review Specialist position at Alignerr. The company is looking for individuals with strong reading comprehension, a systematic mindset, and the ability to follow detailed instructions consistently.
- Is the Document Review Specialist position at Alignerr remote?
- Yes, this is a fully remote, flexible contract role. You can work from anywhere, and the schedule is adaptable, allowing you to work between 10–40 hours per week on your own time.
- What kind of documents will I be reviewing as a Document Review Specialist?
- You will review and annotate a wide variety of real-world documents, including but not limited to news articles, research papers, financial reports, government forms, and other texts, to aid AI training.
- What are the 'nice to have' qualifications for this role at Alignerr?
- While not strictly required, experience in research, editing, data entry, or administrative work can be beneficial. Familiarity with annotation tools or content review platforms, as well as a background in information management, library science, or journalism, are also considered advantages.
- How does a Document Review Specialist contribute to AI development at Alignerr?
- By meticulously annotating and classifying documents, you provide the essential data that AI systems learn from. Your work directly influences how AI understands and processes human knowledge, enabling more sophisticated and accurate AI applications.
- What is the expected commitment for the Document Review Specialist role?
- The commitment for this role is flexible, ranging from 10 to 40 hours per week. This allows you to manage your workload according to your availability and the project's needs.