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Contract Data Annotation Jobs in Dallas, TX (NOW HIRING)

Contract Data Annotation information

What is the difference between Contract Data Annotation vs Data Labeler?

AspectContract Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, task-based
Industry UsageAI/ML training, tech companiesAI/ML training, tech companies
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI algorithms

Contract Data Annotation involves completing specific annotation projects for AI training, often on a contractual basis. Data Labelers focus on labeling data to enhance machine learning models, typically performing similar tasks. Both roles require attention to detail and are used in AI/ML industries, but Contract Data Annotation emphasizes project-based work with defined deliverables.

What is a contract data annotation job?

A contract data annotation job involves labeling or tagging data—such as images, text, audio, or video—according to specific guidelines, usually on a temporary or project-based contract. These annotations help train machine learning models by providing accurate, human-labeled examples for algorithms to learn from. Contract workers are typically hired for a set period or project and may work remotely or on-site, depending on the employer. The work requires attention to detail, adherence to quality standards, and sometimes familiarity with specialized annotation tools.

What are the key skills and qualifications needed to thrive as a Contract Data Annotation Specialist, and why are they important?

To thrive as a Contract Data Annotation Specialist, you need a keen eye for detail, strong analytical skills, and familiarity with data labeling standards, often supported by experience in data management or related fields. Proficiency with annotation platforms (such as Labelbox, Prodigy, or CVAT) and basic knowledge of data formats like JSON or XML are commonly required. Excellent communication, time management, and the ability to work independently help individuals excel in this often remote and deadline-driven role. These skills ensure high-quality, accurate data annotations that are vital for training reliable machine learning models.

What are some common challenges faced by contract data annotation professionals, and how can they be effectively managed?

Contract data annotation professionals often encounter challenges such as maintaining consistency in labeling, managing tight project deadlines, and ensuring data privacy. These challenges can be effectively managed by following detailed annotation guidelines, utilizing collaborative tools for team communication, and participating in regular quality assurance checks. Staying organized and proactive about seeking clarification from project leads also helps ensure high-quality, accurate results and a smooth workflow.
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What cities near Dallas, TX are hiring for Contract Data Annotation jobs? Cities near Dallas, TX with the most Contract Data Annotation job openings:
Consultant | Finance | Income Tax

Consultant | Finance | Income Tax

Spruce Infotech

Richardson, TX • On-site

Full-time

Posted 18 days ago


Job description

Work Location: RichardsonTX75081
XXX
Contract duration: 6
Target Start Date: 07 Jul 2026
Does this position require Visa independent candidates only? YES
**hybrid work set-up**
Job Details:
Must Have Skills
CPA, CA, CPB equivalent designation Practical experience in tax accounting.
Strong understanding of tax filing and tax return preparation. Knowledge of debit and credit concepts and business finance.
Strong English communication skills. Critical thinking skills and an auditoriented mindset. Ability to work independently and manage deliverables effectively.
Detailed Job Description
Design annotation guidelines and advise engineering teams on financial data taxonomies. Provide expertise in financial accounting and taxrelated tools. Identify edge cases, anomalies, potential bias, and hallucinations in AI training data. Bridge the gap between technical teams and tax legislation requirements.
Minimum years of experience
8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Tax Accounting
Tax Filing and Returns
Business Finance,
Interview Process (Is face to face required?)
No
Any additional information you would like to share about the project specs/ nature of work
Project Code: AI Annotator positions in USA for Xero