Data Annotation Specialist - Quality Control; QC

Data Annotation Specialist - Quality Control (QC) (BH-397318)

Location:

Newark, United States | Sector:
Engineering | Salary: $40.00 to $50.00 per hour

We are seeking an experienced Data Annotation Specialist to support the development of high-quality datasets for AI and autonomy systems. This role contributes directly to improving vehicle safety by annotating and validating complex data used in machine learning models. The ideal candidate is highly detail-oriented, comfortable with repetitive data tasks, and able to work in a fast-paced, cross-functional environment.

• Annotate and label image, video, and time-series data using internal software tools.
• Perform tasks such as bounding box annotation, polygon labeling, semantic/pixel segmentation, and Lidar annotation.
• Attach metadata (e.g., comments, tags, markups) to datasets following established guidelines.

• Conduct quality assurance and validation of annotated data from internal teams and external vendors.
• Ensure annotated datasets meet project accuracy and completeness standards.
• Evaluate annotation metrics to identify and drive continuous dataset improvement.

• Act as a subject matter expert (SME) on project-specific annotation requirements.
• Maintain ownership of assigned annotation tasks and adapt to evolving guidelines and priorities.
• Collaborate with engineers and program stakeholders to define requirements, develop documentation, and implement solutions.

• Batch and prepare datasets using internal tools to ensure readiness for annotation workflows.
• Provide constructive feedback to vendors and internal teams to improve tooling, processes, and data quality.
• Update and maintain documentation as annotation requirements evolve.
• Support multiple projects simultaneously and adapt to shifting priorities.

• 2+ years of experience in data annotation (2D/3D), preferably in autonomous driving domains, along with QC/QA experience.
• Experience using annotation tools, structured datasets, and tools like Microsoft Office 365 and Jira.
• Strong communication skills, high attention to detail, and ability to work independently.
• Experience in segmentation, classification, or similar annotation tasks, including working with external vendors.

• Attention to detail and commitment to data quality.
• Ownership and accountability.
• Adaptability in fast-paced environments.
• Cross-functional collaboration.

Estimated Min Rate
: $40.00

Estimated Max Rate
: $50.00

We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you.

Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• Met Life Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Note:

Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit to contact us if you are an individual with a disability and require accommodation in the application process.

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