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Use case

Data entry that comes with a quality record.

Per-record completeness, AI QA sampling, and an exportable batch report. So you accept the data once and trust it forever.

Post a Job Why proof-of-work
Why GigAnywhere

The deliverable isn't the dataset. It's the dataset plus the record.

A clean CSV is great. A clean CSV with row-level QA evidence, exception flags, and a session record is something you can actually rely on for downstream automation.

Per-record completeness Define required fields and let AI flag rows that miss them.
QA sampling Random 5%–10% review per batch, with results in the workspace.
Throughput tracking See pace vs. target so deadlines don't surprise you.
Batch-level approval Approve, reject, or partially accept with one click.

Common data-entry jobs

  • Spreadsheet transcription from PDF, image, or paper
  • Form intake & structured data capture
  • CRM cleanup & field normalization
  • Catalog & SKU data entry
  • Government/county record transcription
  • Annotated training data for AI/ML
Recommended setup

Workspace template — “Batch transcription”

Acceptance criteria

  • All required fields populated per row
  • QA sample passes at 98%+
  • Exceptions logged with reason
  • Submitted as CSV with column order locked

AI supervisor rules

required_columns: [name, dob, addr, phone, email, src]
target_rows_per_hour: 60
qa_sample_pct: 5
flag_blank_required_field: true
flag_unrealistic_value: true
Recommended proof level: Managed Work for routine batches; Verified Work for sensitive or regulated data.

Get the data — and the proof.

Per-record QA, AI-flagged exceptions, downloadable record.

Post a JobSee pricing