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Data Annotation Jobs in Texas (NOW HIRING)

Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer

Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer

Experience with AI/ML data annotation or image labeling. (nice-to-have) * Familiarity with GIS tools (e.g., QGIS, ArcGIS) or remote sensing software. (nice-to-have) * Knowledge of SAR and ...

Computer Engineering

Dallas, TX · Remote

$35 - $60/hr

Prior experience with data annotation, data quality, or evaluation systems * Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.

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Data Annotation information

See Texas salary details

$8

$22

$47

How much do data annotation jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data annotation in Texas is $22.19, according to ZipRecruiter salary data. Most workers in this role earn between $15.01 and $26.43 per hour, depending on experience, location, and employer.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

Is data annotation a genuine job?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It typically requires attention to detail and familiarity with annotation tools, and many companies hire remote workers for this role. The job is often part-time or freelance, with varying pay rates depending on complexity and volume of work.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

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

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What are the most commonly searched types of Data Annotation jobs in Texas? The most popular types of Data Annotation jobs in Texas are:
What cities in Texas are hiring for Data Annotation jobs? Cities in Texas with the most Data Annotation job openings:
AIML Data Operations - Annotations Production Team Manager

AIML Data Operations - Annotations Production Team Manager

Apple

Austin, TX

Full-time

Posted 2 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Behind every groundbreaking AI innovation at Apple is a foundation of high-quality annotated data-and behind that foundation are the vendor partnerships and production operations that make it possible at scale.
We're looking for an Annotations Production Team Manager to lead a group of crowd managers who serve as the critical link between Apple's annotation needs and our external vendor workforce. You will set strategic direction for how your team engages with vendor partners, ensuring the delivery of high-quality annotated data on time and at scale. You will develop your team's capabilities in vendor management, production operations, and quality oversight while establishing the frameworks and processes that enable consistent, scalable execution. Imagine leading the team that keeps Apple's AI data engine running, ensuring our machine learning models are trained with the highest quality data produced by a global workforce operating at peak efficiency.
Description
As a Manager in Annotations Production, you'll lead a team of crowd managers who collaborate with engineering teams and data requestors to deploy scalable data pipelines through our vendor workforce. Your team manages the full production lifecycle-from initial project requirements and vendor onboarding through delivery tracking, quality assurance, and continuous improvement. You will remain hands-on when complex vendor challenges or production escalations require your direct involvement.
You will coach your team in vendor relationship management, helping them balance quality expectations with throughput targets across multiple annotation domains. You will establish operational frameworks-ramp plans, quality monitoring systems, escalation paths, and performance benchmarks-that enable your team to run production consistently and at scale.
Your work will directly contribute to the success of the next generation of Apple products and features.
This role leads a globally distributed team, with direct reports spanning multiple time zones across regions including [AMR / EMIEA / APAC]. You should be flexible in your working hours to accommodate collaboration across these time zones, which may include early morning or evening meetings on a regular basis.","responsibilities":"Lead, mentor, and develop a team of crowd managers that are located in multiple different time zones, fostering growth in vendor management, production operations, and stakeholder communication
Set strategic direction for vendor-facing production operations, establishing scalable frameworks and best practices
Oversee vendor performance, ensuring SLAs are met for quality, throughput, and delivery timelines across concurrent programs
Drive capacity planning and resource management across vendor partners, including volume forecasting and workforce allocation
Ensure your team bridges engineering/customer teams and vendor operations, translating complex annotation requirements into actionable production plans
Partner with QA, training, spec/process engineering, and data analytics teams to maintain quality at scale
Establish and monitor key performance metrics for vendor operations, driving continuous improvement
Manage budget allocation, financial forecasting, and vendor cost optimization
Build and maintain strong relationships with vendor leadership, ensuring alignment on Apple's quality standards
Prepare executive reports communicating production status, vendor health, and risks to senior leadership
Foster a collaborative culture where your team tackles production problems proactively and gains the trust of customers, engineering partners, and vendor organizations
Preferred Qualifications
Advanced degree in a relevant field preferred
Annotation operations, data operations, or crowd-sourcing programs at scale
Vendor/supplier management including performance management and relationship development
Budget management and financial forecasting for vendor-delivered work
Data quality issue tracking and resolution (impact analysis, root cause analysis, data analysis)
Background managing geographically distributed teams or vendor workforces
Understanding of machine learning concepts, data annotation methodologies, and quality assurance processes
Minimum Qualifications
BS degree required
10+ years of experience in program/project management, production operations, or vendor management in data operations or related fields
3+ years of experience managing and developing teams in operational or vendor-facing roles
Strong understanding of production operations including capacity planning, quality assurance frameworks, and delivery management
Excellent written and verbal communication skills, with the ability to communicate complex concepts to both technical and non-technical audiences
Proven ability to manage multiple concurrent programs with competing priorities in a fast-paced environment
Self-motivated and proactive leader who thrives in ambiguous environments and is able to establish diligent processes for global teams
Demonstrated ability to navigate ambiguity and rapidly shifting priorities, crafting creative, pragmatic near-term vendor support solutions that keep programs on track while maintaining focus on longer-term vendor strategy and scalable operational goals
Experience in leading a dispersed global team

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976