Review data from contract laboratories to ensure accuracy and regulatory compliance.

“Review data from contract laboratories to ensure accuracy and regulatory compliance.” is a supplemental task performed by Quality Control Analysts. Among the occupation's 26 rated tasks, workers place it 5th by importance (#22 most important). About 66% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Evaluate the quality or accuracy of data. in Processing Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T3.

Other tasks in this occupation

• Conduct routine and non-routine analyses of in-process materials, raw materials, environmental samples, finished goods, or stability samples. · importance 4.4
• Interpret test results, compare them to established specifications and control limits, and make recommendations on appropriateness of data for release. · importance 4.3
• Calibrate, validate, or maintain laboratory equipment. · importance 4.3
• Perform visual inspections of finished products. · importance 4.2
• Ensure that lab cleanliness and safety standards are maintained. · importance 4.2
• Complete documentation needed to support testing procedures, including data capture forms, equipment logbooks, or inventory forms. · importance 4.2
• Compile laboratory test data and perform appropriate analyses. · importance 4.2
• Identify and troubleshoot equipment problems. · importance 4.1
• Write technical reports or documentation, such as deviation reports, testing protocols, and trend analyses. · importance 4.1
• Investigate or report questionable test results. · importance 4.1
• Monitor testing procedures to ensure that all tests are performed according to established item specifications, standard test methods, or protocols. · importance 4.0
• Identify quality problems and recommend solutions. · importance 3.9
• Participate in out-of-specification and failure investigations and recommend corrective actions. · importance 3.9
• Receive and inspect raw materials. · importance 3.9

See all tasks on the Quality Control Analysts page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-16968,
  title  = {Review data from contract laboratories to ensure accuracy and regulatory compliance.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-16968}
}