ZipRecruiter

Log In

1

Freelance Machine Learning Data Annotation Jobs in Live Oak, TX

Weeghman-

Data Scientist 3

San Antonio, TX · On-site

$138.10 - $153.50/hr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high‑level language, e.g. Python ...

Siri InfoSolutions Inc

Data Engineer

San Antonio, TX · On-site

$89K/yr

Develop and implement machine learning and data processing solutions using Python and related libraries such as pandas, numpy, and scikit-learn. Build and optimize relational and NoSQL databases ...

Analytica

Data Scientist

San Antonio, TX · On-site

$110 - $150/hr

  • Medical

  • Retirement

Develop and deploy analytics, machine learning, natural language processing, and AI solutions that ... Perform data acquisition, ETL, exploratory data analysis, data preparation, feature engineering ...

New

SWBC

Data Scientist II

San Antonio, TX · On-site

SWBC is seeking a talented individual to contribute to the development of machine learning models and analytical solutions that impact business performance. The Data Scientist II will work closely ...

Interclypse, Inc.

Data Scientist - All Levels

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required. Primary Responsibilities

Interclypse Inc.

Data Scientist - All Levels

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required. Primary Responsibilities

Interclypse Inc.

Data Scientist - All Levels

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required. Primary Responsibilities

Weeghman & Briggs LLC

Data Scientist 3

San Antonio, TX · On-site

$138K - $153K/yr

... machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error ...

HEB

Data Scientist - Demand Forecasting

San Antonio, TX · On-site

$158K/yr

As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include ... machine learning process, and orchestrating reusable storytelling methodology to apply toward AI ...

HEB

Data Scientist - Demand Forecasting

San Antonio, TX · On-site

As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include ... machine learning process, and orchestrating reusable storytelling methodology to apply toward AI ...

SWBC

Data Scientist II

San Antonio, TX · On-site

  • Medical

  • Retirement

SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...

SWBC

Data Scientist II

San Antonio, TX · On-site

  • Medical

  • Retirement

SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...

Swbc

Data Scientist II

San Antonio, TX · On-site

  • Medical

  • Retirement

SWBC is seeking a talented individual who will contribute to the development of machine learning ... The Data Scientist II is expected to independently lead analyses and model development projects ...

previous page

Showing results 41-60

All JobsMachine Learning Data Annotation JobsFreelance Machine Learning Data Annotation JobsFreelance Machine Learning Data Annotation Jobs in Live Oak, TX

Freelance Machine Learning Data Annotation information

See Live Oak, TX salary details

$11

$18

$30

How much do freelance machine learning data annotation jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for freelance machine learning data annotation in Live Oak, TX is $18.88, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $21.59 per hour, depending on experience, location, and employer.

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?

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 cities near Live Oak, TX are hiring for Freelance Machine Learning Data Annotation jobs? Cities near Live Oak, TX with the most Freelance Machine Learning Data Annotation job openings:
Freelance Machine Learning Data Annotation jobs near you

Data Scientist 3

Weeghman-

San Antonio, TX • On-site

$138.10 - $153.50/hr

Other

Posted 7 days ago

Job description

Data Scientist 3

Location: San Antonio, Texas

Clearance Required: TS/SCI with Polygraph

Employment Type: Full-Time

Salary Range: $138,100-$153,500

What You'll Do
  • Support mission‑critical programs in secure government environments
  • Analyze requirements and translate them into actionable solutions
  • Collaborate with cross‑functional teams to deliver high‑quality results
  • Ensure compliance with contract and security standards
  • Contribute ideas to improve processes, efficiency, and performance
What You Bring
  • Active TS/SCI with Polygraph
  • Master's Degree with 8 years of relevant experience
  • Bachelor's Degree with 10 years of relevant experience
  • Associates degree with 12 years of relevant experience
  • Experience supporting government or DoD programs
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high‑level language, e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.
  • Ability to work independently and within a collaborative team environment
  • Strong written and verbal communication skills
Preferred Qualifications
  • Relevant certifications (Security+, CISSP, PMP, AWS, etc.)
  • Foundations: (Mathematical, Computational, Statistical)
  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain‑specific considerations)
  • Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
  • Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
  • Effectively communicate complex technical information to non‑technical audiences.
  • Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.
  • Experience supporting the Federal Government
  • Agile, cloud, or modernization experience
  • Background in process improvement or analytical services
Compensation & Benefits
  • Projected salary range for this position is $138,100-$153,500, dependent upon experience, qualifications, and contract requirements.
  • We offer a competitive benefits package designed to support you professionally and personally.
  • Learn more about our comprehensive benefits here: https://weeghmanandbriggs.com/summary-of-employee-benefits/
Equal Employment Opportunity

Weeghman & Briggs is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local laws.

#J-18808-Ljbffr

Apply