Data Validation Specialist

WE ARE LOOKING FOR GREAT PEOPLE TO JOIN OUR TEAM- just like you! 

Our associates have a lot in common.  They have great interpersonal skills, enjoy working independently, are self-motivated, and have a relentless drive. Did we mention that while they are working hard, they also like to have fun?

We offer flexible hours, competitive pay, and great benefits for both full and part-time associates.

If this sounds like a good fit for you, come join our team!

As an Anderson Merchandisers Associate, you may be eligible for these benefits*.

•    Flexible work schedules

•    401(k) retirement plan

•    Health Insurance – including Dental and Vision 

•    Telehealth

•    Health Savings Account

•    Accident Insurance

•    Critical Illness Insurance

•    Life Insurance

•    Long Term Care

•    Short Term Disability

•    Long Term Disability

•    Associate Assistance Fund

•    Anderson Cares Natural Disaster Fund

•    Associate Savings Plan

•    Anderson Cares Fund

•    Paid Time Off

•    Discounts - Cell Phone, Vehicle, Pet Insurance

•    Training & Career Development

*All benefits subject to eligibility per company policy.

What would you do in this role?

DUTIES AND TASKS, including but not limited to the following:

Seeks minimum guidance on the following tasks:

• Label, tag, transcribe, segment, or categorize data (text, images, video, audio, or sensor data) according to project-specific style guides and taxonomies.

• Apply bounding boxes, polygons, keypoints, or segmentation masks to visual data as required by computer vision projects.

• Maintain consistent labeling speed while meeting or exceeding minimum throughput targets without sacrificing accuracy

• Review annotations completed by peers or vendor teams for accuracy, completeness, and adherence to guidelines.

• Identify systematic errors, edge cases, and ambiguous instructions; escalate patterns to team leads or guideline owners.

• Perform spot-checks and full audits on annotated datasets prior to delivery or model training.

• Track and report quality metrics (accuracy rate, error rate, agreement rate, throughput) using internal tools or spreadsheets.

• Re-annotate or correct flagged data points and document rationale for changes.

• Provide structured feedback on annotation guidelines, identifying gaps, contradictions, or unclear edge cases.

• Participate in calibration sessions to align understanding of labeling standards across the team.

• Help pilot new annotation tasks, test draft guidelines on sample data, and report findings before full-scale rollout.

• Document recurring edge cases and contribute examples to internal knowledge bases or FAQs.

• Work within annotation platforms to complete assigned tasks.

• Track task assignments, deadlines, and completion status in project management tools.

• Maintain strict confidentiality and data handling protocols, especially with sensitive, proprietary, or personally identifiable data.

• Communicate blockers, ambiguous cases, or technical issues promptly to team leads.

QUALIFICATIONS

• High school diploma or equivalent required

• Demonstrated ability to follow detailed written instructions with a high degree of precision.

• Strong attention to detail and consistency, especially across repetitive tasks performed over long periods.

• Comfortable working with ambiguity, and skilled at flagging uncertain cases rather than guessing.

• Basic computer literacy: comfortable navigating web-based tools, spreadsheets (Excel/Google Sheets/Microsoft List), and ticketing/task systems.

• Strong written communication skills for documenting edge cases and providing feedback.

• Ability to meet productivity and quality targets in a metrics-driven environment.

• Preferred prior experience in data annotation, content moderation, transcription, quality assurance, proofreading, editing, or a related detail-oriented field.

Flex position details:

Expectation

• Weekly hours - Vary, based on workload
• Notice of schedule - At least 1 week ahead where possible
• Core availability - Some overlap with business hours (8:00am CST – 5:00 pm CST).  Occasional evening and weekend hours.

Working conditions

Computer-based work, mostly at a desk.

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