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

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Data Annotation Engineer information

See Dallas, TX salary details

$50.9K

$145.8K

$194.8K

How much do data annotation engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data annotation engineer in Dallas, TX is $145,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $193,900.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

What are the key skills and qualifications needed to thrive in the Data Annotation Engineer position, and why are they important?

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Does data annotation really pay?

Data annotation engineers can earn competitive wages, often paid hourly or per task, with pay rates varying based on experience, complexity of annotations, and the platform or employer. Entry-level roles may start at minimum wage, while experienced annotators or those with specialized skills can earn higher salaries or freelance rates. Overall, data annotation can provide a reliable income, especially for remote or flexible work arrangements.

What is the highest salary for data annotator?

The highest salary for a data annotation engineer can reach up to $80,000 to $100,000 annually, depending on experience, location, and the complexity of annotation tasks. Senior roles or those with specialized skills in tools like Labelbox or CVAT may earn higher compensation. Salaries vary widely across companies and regions but generally reflect the technical skills required for high-quality data labeling.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to prepare it for machine learning models. They often use specialized tools and follow guidelines to ensure data quality, supporting the development of AI systems.

How hard is it to get hired by data annotation?

Getting hired as a data annotation engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools. Many positions are entry-level and may not require advanced degrees, but strong accuracy and consistency are important for success in the role.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

What are popular job titles related to Data Annotation Engineer jobs in Dallas, TX? For Data Annotation Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Annotation Engineer jobs in Dallas, TX look for? The top searched job categories for Data Annotation Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Annotation Engineer jobs? Cities near Dallas, TX with the most Data Annotation Engineer job openings:
Data Annotation Engineer jobs near you

Manufacturing Production Leader -- Paper & Converting

Pratt Retail Specialties - Production Facilities

Dallas, TX • On-site

$80K - $110K/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Manufacturing Production Leader — Paper & Converting

Ready to lead from the floor and the data? Apply on our company website: https://myjobs.adp.com/prattexternalcareersite/cx/job-details?__tx_annotation=false&_fromPublish=true&reqId=5001201367606

Is this you?
  • Do you thrive in a high-volume plant and prefer to spend real time on the production floor?
  • Can you cut waste, lift throughput, and protect quality—simultaneously?
  • Are you passionate about building leaders through coaching and accountability?

Reporting to the Plant Manager, you will own safety, production, quality, cost, and on-time shipping across our operations.

What you will do
  • Drive a culture of safety-first; ensure compliance with OSHA protocols (including lockout/tagout) and partner with safety committees.
  • Plan and execute day-to-day operations that exceed customer expectations for service and quality.
  • Increase capacity and flexibility while minimizing unnecessary costs; reduce downtime and scrap with data-driven actions.
  • Allocate labor and assets smartly; monitor performance and act quickly on deviations.
  • Recruit, manage, and develop a strong plant team; deliver targeted training and mentorship to grow future leaders.
  • Build systems that track productivity, standards, and metrics to maximize return on assets, safety, and quality.
  • Manage expenses and contribute to strategic planning throughout the year.
  • Lead clear communication—run meetings, cascade goals, and establish a customer-centric mindset inside and out.
  • Ensure compliance with GMPs and SOPs; lead continuous improvement programs.
  • Escalate operational needs to the Plant Manager/Regional leadership when appropriate.
  • Translate departmental vision into executable action plans with owners and deadlines.
Safety leadership commitments
  • Participate on the Management Safety Team or support the Plant Safety Committee.
  • Hold Supervisors accountable for safety targets and model safe behaviors yourself.
  • Continuously improve safety practices across Plant Operations.
Qualifications you bring
  • Bachelor’s in business, engineering, or similar preferred; equivalent experience considered.
  • 3–5+ years in manufacturing; experience in extrusion, plastic bag converting, or paper converting is a plus.
  • Track record of structured problem-solving and leadership that delivers results.
  • Comfortable operating with minimal supervision and engaging at all levels of the org.
  • Excellent communicator—written, verbal, and in presentations.
  • Proficient in Microsoft Office and eager to learn new systems.
  • Coach and hold teams accountable; strong people leadership and decision-making skills.
  • Background in budgeting, strategy, resource allocation, and HR basics.
  • Ability to interpret complex documents and statistics; able to request/build performance reports.
  • Exceptional organization, prioritization, and time management.
Knowledge & skills
  • Language: Read/interpret industry publications, technical procedures, and regulations; author reports, correspondence, and procedures; present to varied audiences.
  • Math: Comfortable with numerical analysis and calculations.
  • Reasoning: Define problems, gather data, establish facts, draw conclusions, and interpret complex written/diagrammatic instructions.
  • Technical: Understand equipment design/capacity for efficient operation; cost-awareness for daily decision-making; budget development/analysis; quality systems; and regulatory requirements (wage/hour, environmental/waste minimization, company policies, and personnel requirements including OSHA, DEQ, and EEO).
Physical demands
  • Regular talking/hearing; frequent standing, walking, and sitting.
  • Occasional reaching/handling; climbing/balancing; stooping, kneeling, crouching, or crawling.
  • Lift/move up to 50 lbs as needed.
  • Vision: close, distance, color, peripheral, depth perception, and focus adjustment.
Work environment
  • Routine exposure to moving mechanical parts and loud noise.
  • Frequent wet/humid conditions.
  • Occasional heights, fumes/airborne particles, and vibration.
Who we are

Pratt Industries is the nation’s 5th largest paper and packaging company, with 9,000+ green collar employees dedicated to sustainability. We operate modern, cost-efficient paper mills and a network of corrugated sheet and box plants across 20+ states—delivering creative, sustainable packaging solutions while advancing our commitment to recycling and the urban forest.

Benefits

Competitive compensation and comprehensive benefits, including medical, dental, vision, life, disability, All State, Pre-Paid Legal, 401(k) with company match, paid vacation, paid holidays, and childbearing and parental leave.

EEOC Statement