Data Validation Specialist

Anderson Merchandisers

Oregon

Hybrid

USD 38,000 - 56,000

Part time

8 days ago

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Benefits offered by this job

Flexible work schedules
401(k) retirement plan
Health Insurance - including Dental
Telehealth
Health Savings Account
Accident Insurance
Critical Illness Insurance
Life Insurance
Long Term Disability
Short Term Disability
Paid Time Off
Training & Career Development

Job summary

Anderson Merchandisers is seeking a Data Validation Specialist to ensure data accuracy, completeness, and consistency across systems. The role involves labeling, tagging, and reviewing large volumes of data (text, images, audio, video, or multimodal content) following detailed project guidelines.

The ideal candidate is meticulous, able to work independently, comfortable with repetitive tasks, and adept at flagging ambiguity rather than guessing.

Qualifications

  • High school diploma or equivalent required.
  • Ability to follow detailed written instructions with precision.
  • Strong attention to detail and consistency over repetitive tasks.
  • Comfort with ambiguity and flagging uncertain cases.
  • Basic computer literacy with web-based tools and spreadsheets.
  • Strong written communication for documenting edge cases and feedback.
  • Ability to meet productivity and quality targets in a metrics-driven environment.

Responsibilities

  • Label, tag, transcribe, segment, or categorize data per style guides and taxonomies.
  • Apply bounding boxes, polygons, or segmentation masks to visual data as needed.
  • Maintain consistent labeling speed while meeting throughput targets.
  • Review peer annotations for accuracy and guideline compliance.
  • Identify errors, edge cases, and ambiguities; elevate patterns to leads.
  • Perform spot-checks and audits on annotated datasets before delivery.
  • Track quality metrics using internal tools or spreadsheets.
  • Provide feedback on guideline clarity and document rationale for changes.
  • Participate in calibration sessions to align labeling standards.
  • Help pilot new tasks and report findings before full rollout.
  • Document recurring edge cases for internal knowledge bases.
  • Work within annotation platforms and track task deadlines in project tools.
  • Maintain confidentiality and proper data handling for sensitive data.
  • Communicate blockers or issues promptly to team leads.

Skills

Attention to detail
Follow instructions
Ambiguity flagging
Written communication
Excel/Sheets
Meet targets

Education

High school diploma

Tools

Google Sheets
Ticketing systems

Job description

Our associates have a lot in common. They have great interpersonal skills, enjoy working independently, are self-motivated, and have a relentless drive. 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.

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.

The Data Validation Specialist checks that data entering and moving through our systems is accurate, complete, and consistent. The Data Validation Specialist is responsible for labeling, tagging, categorizing, and reviewing large volumes of structured and unstructured data (text, images, audio, video, or multimodal content) according to detailed project guidelines. This role also validates work completed by other annotators, identifies inconsistencies or errors, and provides feedback to improve annotation quality and guideline clarity. The ideal candidate is meticulous, comfortable with repetitive, detail-oriented work, able to follow complex and evolving instructions precisely, and confident flagging ambiguity rather than guessing. As a flex position, the role scales hours up during peak periods such as new AI model launches and down when volume is lower. Assignments are checked to verify progress, through a reporting mechanism by the Artificial Intelligence Project Manager.

DUTIES AND TASKS
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; elevate 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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