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Freelance Machine Learning Data Annotation Jobs in Dallas, TX

Freelance Location: Texas, work from home Work Schedule: Part-time - 10+ hours per week. Flexible ... Experience in one or more of the following areas: machine learning tasks, data collection and ...

Freelance Location: Texas, work from home Work Schedule: Part-time - 10+ hours per week. Flexible ... Experience in one or more of the following areas: machine learning tasks, data collection and ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring ...

This role will focus on building ML-ready data architectures, developing scalable machine learning solutions, and supporting enterprise analytics initiatives. The ideal candidate will possess hands ...

Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from ...

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI ... Engineering, Computer Science, etc.) * 8+ years of proven experience in implementing Big data ...

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Freelance Machine Learning Data Annotation information

See Dallas, TX salary details

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$34

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

As of Jun 13, 2026, the average hourly pay for freelance machine learning data annotation in Dallas, TX is $21.63, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.71 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, 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 Dallas, TX? The most popular types of Machine Learning Data Annotation jobs in Dallas, TX are:
What are popular job titles related to Freelance Machine Learning Data Annotation jobs in Dallas, TX? For Freelance Machine Learning Data Annotation jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Data Annotation jobs in Dallas, TX look for? The top searched job categories for Freelance Machine Learning Data Annotation jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Freelance Machine Learning Data Annotation jobs? Cities near Dallas, TX with the most Freelance Machine Learning Data Annotation job openings:
Machine Learning Data Engineer

Machine Learning Data Engineer

HonorVet Technologies

Dallas, TX • Hybrid

$113K - $136K/yr

Other

Posted 27 days ago


Job description

Position: Machine Learning Data Engineer
Location: Hybrid 2 days/week in Dallas, TX or Boston, MA
Duration: 3+ month contract; Strong potential for extension
Only W2
Overview:
Our client in the commercial banking domain is hiring two Machine Learning Data Engineers to support a high-impact initiative within the Data Quality Team. One role will focus on solution architecture, requiring experience implementing a full machine learning framework. The second will be more of an Engineer/Business Analyst hybrid, supporting the lead architect and contributing to model development and automation efforts.
These roles are part of a strategic effort to automate the review of over 25,000 data quality rules currently being manually aggregated and analyzed. The goal is to build and implement a prototype ML model by year-end, so candidates must be available for a fast-paced delivery timeline (no extended time off planned in December).
Project Scope:
  • Automate the rule review process currently handled manually using Informatica IDQ, with a transition toward Snowflake.
  • Develop and deploy a Machine Learning model to analyze rule pass/fail outcomes.
  • Improve efficiency by reducing manual resource dependency through intelligent automation.

Responsibilities:
  • Follow the company's software development lifecycle to design, code, configure, test, debug, and document system and application programs.
  • Prepare technical design specifications based on functional requirements and analysis documents.
  • Participate in architecture, design, and code reviews.
  • Collaborate with development staff to ensure quality and consistency.
  • Develop and maintain operational and system-level documentation.
  • Build and implement a prototype ML model with a quick turnaround.
  • Support scalable API integrations between internal and external systems (nice to have).

Core Requirements:
  • Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake).
  • Proficient in Python and/or R for data analysis and model development.
  • Experience with ML/AI programming and modern machine learning standards.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP) and services like Lambda, S3, Azure Functions, BigQuery.
  • Familiarity with automation frameworks (e.g., Power Automate, Python scripting).
  • Understanding of data quality, management, and governance concepts.
  • Experience with Web Application Server enhancements and infrastructure standards.

Preferred Qualifications (Nice-to-Haves):
  • Experience with Informatica IDQ.
  • Familiarity with Snowflake ML libraries or programming extensions.
  • Background in designing and implementing scalable API integrations.

Soft Skills:
  • Highly motivated, proactive, and collaborative team player.
  • Able to work independently and meet tight deadlines.
  • Strong communication and problem-solving skills.

HonorVet Technologies logo

About HonorVet Technologies

Sourced by ZipRecruiter

HonorVet Technologies, located in Fairfield, NJ, US, is a technology-driven company with a unique dimension - enhancing veteran engagement in the workforce. Founded with the goal of supporting and preserving professional veterans while satisfying the IT and professional needs of businesses, HonorVet Technologies brings a particular focus to diversity and veteran hiring, making it a standout player in the IT and Staffing industries. Functioning as a veteran-driven community entity, the firm offers IT staffing, bespoke development, and consulting services, with the aim of connecting talents with IT-related job opportunities.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Fairfield , NJ, US

Year founded

2015