AI Data Labeler & Quality Verifier

Datum Labs; Lahore; On-site; PKR 279,000 - 391,000; Full time

Benefits offered by this job

Gym, travel and food allowance

Annual certification

Paid time off and holidays

Bi-annual performance reviews and Boni

Job summary

Datum Labs is seeking a Data Annotator to prepare training and evaluation data for AI and ML projects across the US, UK, and Europe. You will label text, documents, and images, and review AI responses following project guidelines.

Accuracy matters; you will verify your work, flag unclear cases, and ensure consistent labeling across the team. Office work in Lahore-based teams supports a global client base.

Qualifications

• 1–2 years of experience in data annotation, data entry, content moderation or similar detail-focused work.
• Bachelor's degree in any field.
• High attention to detail and patience for repetitive, careful work.
• Comfortable with Google Sheets or Excel, and quick to pick up new web-based tools.
• Ability to follow detailed written guidelines.

Responsibilities

• Label and tag text, documents, images and other data according to project guidelines.
• Review and rate AI-generated responses for accuracy, relevance and tone (LLM evaluation and RLHF tasks).
• Extract and structure information from documents such as invoices, forms and reports.
• Run quality checks on your own and teammates' work, and correct errors.
• Flag edge cases and unclear instructions, and suggest improvements to annotation guidelines.
• Meet agreed daily targets for volume and accuracy, and keep task trackers up to date.

Skills

Data annotation

Attention to detail

Data entry

Documentation

Quick learner

Education

Bachelor's degree

Tools

Google Sheets

Excel

Label Studio

Job description

Datum Labs is seeking a Data Annotator to prepare training and evaluation data for AI and ML projects across the US, UK, and Europe. You will label text, documents, and images, and review AI responses following project guidelines.

Accuracy matters; you will verify your work, flag unclear cases, and ensure consistent labeling across the team. Office work in Lahore-based teams supports a global client base.