TEKsystems · 22 hours ago
Data Annotator/Labeler - 100% Remote
United States
Full-time
Remote
Mid Level
$50/hr - $55/hrTEKsystems is a leading provider of business and technology services, and they are seeking a detail-oriented Data Analyst to evaluate, label, and analyze complex datasets that power their AI and machine learning models. The role involves performing data annotation, collaborating with engineers to refine guidelines, and ensuring data quality and accuracy.
Information Technology
Responsibilities
Analyze diverse datasets to understand context, quality, and labeling requirements
Perform accurate data annotation and labeling with strong attention to detail
Clean and preprocess datasets by identifying and correcting errors, inconsistencies, and missing data
Collaborate closely with engineers to develop and refine annotation guidelines and standards based on data insights
Identify inconsistencies, ambiguities, or anomalies in the data and provide actionable feedback
Support data quality assurance by reviewing and validating annotations for consistency and accuracy
Document data characteristics, annotation processes, and best practices to maintain knowledge continuity
Qualification
Required
Detail-oriented Data Analyst to evaluate, label, and analyze complex datasets
Review raw data to verify and correct existing labels
Apply consistent annotations
Use Python to explore datasets, identify patterns in text and other data types, and interpret what the data represents
Collaborate closely with AI/ML engineering team to develop and refine annotation guidelines
Analyze diverse datasets to understand context, quality, and labeling requirements
Perform accurate data annotation and labeling with strong attention to detail
Clean and preprocess datasets by identifying and correcting errors, inconsistencies, and missing data
Identify inconsistencies, ambiguities, or anomalies in the data and provide actionable feedback
Support data quality assurance by reviewing and validating annotations for consistency and accuracy
Document data characteristics, annotation processes, and best practices to maintain knowledge continuity
Background in data science, statistics, machine learning, or related technical fields
Preferred
Familiarity with data cleaning techniques and quality assurance practices
Familiarity with incident management, change management, or operational excellence frameworks
Experience using annotation platforms
Experience contributing to open source projects related to data annotation, machine learning, or AI infrastructure
Hands-on experience building or training machine learning models
Benefits
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Company
TEKsystems
At TEKsystems, they understand people. Every year they deploy over 80,000 IT professionals at 6,000 client sites across North America,
Founded in 1994
10001+ employees
H1B Sponsorship
TEKsystems has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (46)
2024 (52)
2023 (33)
2022 (22)
2021 (36)
2020 (53)
Funding
Current Stage
Late StageLeadership Team
Ryan Skains
Vice President, TEKsystems Global Services
Recent News
2025-11-19
2025-10-29
Company data provided by crunchbase