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Weekend Ai Data Annotation Jobs in Dallas, TX (NOW HIRING)

Abbott

Research Scientist II

Plano, TX · On-site

AI, Data Science & Multimodal Research * Apply an AI-first approach to experimental design, data generation, annotation, structuring, and interpretation. * Contribute to development of AI-ready ...

Abbott

Research Scientist II

Plano, TX · On-site

AI, Data Science & Multimodal Research * Apply an AI-first approach to experimental design, data generation, annotation, structuring, and interpretation. * Contribute to development of AI-ready ...

YO AI Labs

Korean Language Expert

Dallas, TX · Remote

$65 - $100/hr

Collaborate with project participants to improve data collection, evaluation, and annotation processes. * Help develop language guidelines and resources tailored to AI training and evaluation.

Tesla

Data Labeler Manager

Dallas, TX · On-site

... AI leadership and own annotation policies that require an understanding of both technical and ... Data Labelers, and accurately manage timekeeping Qualifications : Required : • Experience ...

YO AI Labs

Medical Coder - Remote

Dallas, TX · Remote

$50 - $80/hr

Collaborate with project teams through written and verbal communication to improve AI training data ... Familiarity with digital annotation tools or healthcare data projects is a plus. * Commitment to ...

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Weekend Ai Data Annotation information

What is a Weekend AI Data Annotation specialist?

Weekend AI Data Annotators are professionals who label, categorize, and tag data—such as images, audio, or text—for use in training artificial intelligence models, specifically working on weekends. Their work ensures that machine learning algorithms receive high-quality, accurately labeled datasets for tasks like computer vision, natural language processing, or speech recognition. This role often involves using specialized annotation tools and following precise guidelines to maintain consistency and accuracy. Weekend annotators may work remotely or on-site, and their contributions are vital for improving AI system performance.

What skills and qualifications are needed to thrive as a Weekend AI Data Annotation specialist?

To thrive as a Weekend AI Data Annotation Specialist, you need attention to detail, strong analytical skills, and familiarity with data labeling processes, often supported by a high school diploma or post-secondary coursework in a technical field. Proficiency with annotation platforms like Labelbox, Supervisely, or internal company tools is typically required, along with basic knowledge of data privacy protocols. Reliability, time management, and effective communication are crucial soft skills for meeting project deadlines and collaborating with remote teams. These skills and qualities ensure the accuracy and efficiency of annotated datasets, which are essential for high-performing AI systems.

What are common challenges faced by Weekend AI Data Annotation specialists, and how can they be managed?

Weekend AI Data Annotation specialists often encounter challenges such as maintaining high attention to detail during repetitive tasks and managing productivity over long annotation sessions. Since the work is typically remote or semi-remote, self-motivation and effective time management are crucial to meet project deadlines. It's helpful to take regular breaks, communicate proactively with team leads when questions arise, and make use of any annotation guidelines or quality assurance feedback provided. Collaborating with teammates through chat platforms or project management tools can also enhance consistency and resolve uncertainties quickly.

What are the most commonly searched types of Ai Data Annotation jobs in Dallas, TX?

The most popular types of Ai Data Annotation jobs in Dallas, TX are:

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For Weekend Ai Data Annotation jobs in Dallas, TX, the most frequently searched job titles are:

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Cities near Dallas, TX with the most Weekend Ai Data Annotation job openings:

Weekend Ai Data Annotation jobs near you

Technical Product Manager (Data Collection & Pipeline)

Caterpillar

Irving, TX • On-site

$160K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Caterpillar Inc. rating

7.5

Company rating: 7.5 out of 10

Based on 488 frontline employees who took The Breakroom Quiz

273rd of 495 rated machine equipment manufacturers

Job description

Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Job Summary:
As the Technical Product Manager for Data Collection & Pipeline, you will be responsible for defining and executing the strategy, roadmap, and delivery of data products that enable AI, machine learning, analytics, and autonomous systems development. This role owns the end-to-end data ecosystem, including data collection, data acquisition strategies, annotation and labeling operations, data quality frameworks, and scalable data pipelines.
What You Will Do:
Maximize the value of enterprise data assets and define work for multiple scrum teams supporting data collection, labeling, quality, and pipeline initiatives. Collaborate with Product Owners, System Engineering, Data Scientists, Machine Learning Engineers, Data Architects, Analytics Architects, and Platform Architects to own and progressively elaborate functional and non-functional Epics and Features for Development Teams to deliver. The Technical Product Manager is empowered to make all decisions regarding the Data Product Backlog.
  • Responsible for creating, maintaining, and prioritizing the Data Product Backlog according to business value, data readiness needs, model performance requirements, and operational priorities for the life of the product.
  • Act as the key decision-maker regarding data collection capabilities, labeling workflows, data quality requirements, and pipeline functionality.
  • Owns definition of acceptance criteria for data products, features, datasets, and platform capabilities.
  • Responsible for defining data collection strategies that support AI, machine learning, analytics, and software product development.
  • Lead prioritization of data acquisition, sensor data collection, simulation data generation, and data sourcing initiatives.
  • Drive development and optimization of labeling and annotation workflows
  • Partner with engineering teams to define and deliver scalable data ingestion, transformation, validation, storage, and delivery pipelines.
  • Establish and monitor data quality metrics, governance standards, and operational KPIs to ensure datasets meet customer and business requirements.
  • Represent internal and external customers by understanding data requirements and translating them into actionable product capabilities.
  • Communicates data platform releases, roadmap updates, and capability enhancements to stakeholders and customers.
  • Employee is also responsible for performing other job duties as assigned by Caterpillar management from time to time.

What You Will Have:
  • Business Analysis: Knowledge of business analysis and the set of tasks, techniques, and tools required to identify business and data needs; ability to recommend solutions that deliver value to stakeholders through scalable data products and services.
  • Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze data-related challenges and reach productive decisions based on informed judgment, balancing quality, cost, scalability, and business value.
  • Effective Communications: Understanding of effective communication concepts, tools, and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs across engineering, data science, operations, leadership, vendors, and customers
  • Data Product Business Knowledge: Knowledge of and experience with the business aspects and operation of data products and platforms; ability to manage data assets, current uses, future requirements, and long-term data strategy.
  • Data Collection and Labelling Operations: Knowledge of data collection methodologies, data acquisition strategies, annotation and labeling workflows, data quality management, and operational processes required to create high-quality datasets.
  • Data Engineering and Pipeline Development: Knowledge of data engineering methodologies, modern data architectures, ETL/ELT processes, cloud-based data platforms, and scalable data pipeline best practices.

Consideration For Top Candidates:
  • Lead enterprise-scale data programs from strategy development through roadmap execution and operationalization.
  • At least 8 years of experience in Product Management, Technical Product Management, Data Product Management, or related software leadership roles.
  • Experience defining and executing data collection, data acquisition, labeling, and data pipeline strategies.
  • Strong understanding of dataset lifecycle management, data quality frameworks, governance, and operational metrics.
  • Experience working closely with Data Engineering, Machine Learning, Analytics, and Platform teams.
  • Data analytics and commercializing data products or APIs.

Additional Details:
  • This position requires the candidate to work full-time at the Irving, TX office (Dallas)
  • Domestic relocation assistance is available for this position.
  • Visa sponsorship is NOT available with this position.

Summary Pay Range:
$128,470.00 - $208,770.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates:
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

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