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Freelance Machine Learning Data Annotation Jobs in Texas

Chevron

Lead Machine Learning Engineer

Houston, TX · On-site

$97K - $128K/yr

Chevron is seeking a Machine Learning Engineer to build and scale production AI solutions that ... In this role, you will partner with data scientists, software engineers, and domain experts to ...

Chevron

Lead Machine Learning Engineer

Houston, TX · On-site

$97K - $128K/yr

Chevron is seeking a Machine Learning Engineer to build and scale production AI solutions that ... In this role, you will partner with data scientists, software engineers, and domain experts to ...

Avride

Machine Learning Engineer

Austin, TX · On-site

They are seeking an experienced Machine Learning Engineer to develop and deploy machine learning ... Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... You'll design, develop, and maintain the data pipelines and ML infrastructure that power our ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... You will collaborate with data scientists, engineers, and product teams to turn data into ...

Apple

Machine Learning Engineer

Austin, TX · On-site

Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. Skilled in communication ...

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...

X4 Engineering

Machine Learning Engineer

Austin, TX · On-site

$140K - $180K/yr

This is not a pure data science role. We're looking for an engineer who enjoys building robust ... Machine Learning Engineering ✔ MLOps Engineering ✔ Platform Engineering ✔ Software ...

Chevron

Lead Machine Learning Engineer

Houston, TX · On-site

$97K - $128K/yr

Chevron is seeking a Machine Learning Engineer to build and scale production AI solutions that ... In this high-impact role, you will partner with data scientists and domain experts to transform ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

Experience building data processing pipelines and large scale machine learning systems with ... experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. Skilled in ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

Experience building data processing pipelines and large scale machine learning systems with ... experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. Skilled in ...

Apple

Machine Learning Engineer

Austin, TX

$134K - $249K/yr

Experience building data processing pipelines and large scale machine learning systems with ... experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. Skilled in ...

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All JobsFreelance Machine Learning Data Annotation JobsFreelance Machine Learning Data Annotation Jobs in Texas

Freelance Machine Learning Data Annotation information

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

What are the key skills and qualifications needed to thrive as a Freelance Machine Learning Data Annotation specialist, and why are they important?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.
What are the most commonly searched types of Machine Learning Data Annotation jobs in Texas? The most popular types of Machine Learning Data Annotation jobs in Texas are:
What are popular job titles related to Freelance Machine Learning Data Annotation jobs in Texas? For Freelance Machine Learning Data Annotation jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Data Annotation jobs in Texas look for? The top searched job categories for Freelance Machine Learning Data Annotation jobs in Texas are:
What cities in Texas are hiring for Freelance Machine Learning Data Annotation jobs? Cities in Texas with the most Freelance Machine Learning Data Annotation job openings:
Freelance Machine Learning Data Annotation jobs near you
Infographic showing various Freelance Machine Learning Data Annotation job openings in Texas as of June 2026, with employment types broken down into 5% As Needed, 71% Full Time, 14% Part Time, 5% Contract, and 5% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Scientist - Level 3

Data Scientist - Level 3

Applied Network Solutions Inc.

San Antonio, TX • On-site

$100K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Who we are:
At Applied Network Solutions (ANS), we bring together some of the most curious minds in networking and cybersecurity. ANS was founded to disrupt the status quo. For over 20 years, our team provides expertise in network, system engineering and both offensive and defensive cybersecurity operations.
What we do:
Our vision is for a future in which talent and customers alike come to ANS because of our reputation for delivering technical excellence, solving our nation's toughest challenges and our ability to exceed expectations.
Why ANS:
At ANS we value the integrity of your work. We are looking for the right person to plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers. Together, let's ensure today is safe and tomorrow is smarter.
Requirements
  • Active TS/SCI clearance with Polygraph
  • A Bachelor's degree and 10 years of relevant experience. A Master's degree and 8 years of relevant experience. A Doctorate's degree and 6 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
  • A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
  • Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.

Desired Qualifications:
  • Working knowledge of Big Data, dataflows, and ML/AI familiarity
  • Working knowledge of Jupyter notebooks
  • Working knowledge of Spark

Responsibilities include, but are not limited to:
  • Working knowledge of statistics, programing and predictive modeling
  • Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
  • Design and implement machine learning, data science and advanced analytical algorithms
  • Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment

Benefits:
ANS offers excellent compensation along with a generous benefits package to include:
  • Family Medical, Dental (w/ adult orthodontia) and Vision coverage
  • Pet Discount Program
  • PTO (Paid Time Off)
  • Maternity/ Paternity Leave
  • Supplemental Military Leave Pay
  • 11 Paid Holidays
  • 401(k) plan with 6% Company Contribution
  • Generous Professional Development Program
  • 100% Employer paid Short- and Long-Term Disability
  • 100% Employer paid Life Insurance
  • Supplemental Whole Life Insurance
  • Lucrative Referral Bonus Program
  • Annual Allowance for ANS Swag
  • Potential for Paid Overtime
  • Flexible Work Schedules

Applied Network Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age or protected veteran status and will not be discriminated against on the basis of disability.
As required by local law, Applied Network Solutions, Inc. provides reasonable salary ranges of compensation for work performed in applicable states. Ranges are not a guarantee of compensation and depend on a variety of factors, including but not limited to contractual requirements, work location, years of experience, skill set, and education. Overtime is not guaranteed for this position. The anticipated pay range for this position is $100,000.00 - $165,000.00 USD.

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