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Data Annotation Tech Remote Jobs in Leander, TX (NOW HIRING)

PTP

Customer Experience Analyst - REMOTE

Austin, TX · On-site +1

... depth data analysis. Using analytic discovery and evaluation, our Customer Experience Analysts ... Call Annotation: Perform detailed annotations to understand customer intents, evaluate AI ...

PTP

Customer Experience Analyst - REMOTE

Austin, TX · Remote

... depth data analysis. Using analytic discovery and evaluation, our Customer Experience Analysts ... Call Annotation: Perform detailed annotations to understand customer intents, evaluate AI ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Experience supporting data analytics initiatives within enterprise IT environments. * Experience ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Experience supporting data analytics initiatives within enterprise IT environments. * Experience ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

Adidev Technologies Inc www.adidevtechnologies.com URGENT HIRE - HIRING PROCESS - 24-48 HOURS ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

HumanSignal

High Volume (TOFU) Recruiter

Austin, TX · On-site +1

$55K - $100K/yr

... data collection and annotation -- delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design ...

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Data Annotation Tech Remote information

See Leander, TX salary details

$11

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$33

How much do data annotation tech remote jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data annotation tech remote in Leander, TX is $21.83, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $25.96 per hour, depending on experience, location, and employer.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What is a data annotation tech remote?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote data annotation techs, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the key skills and qualifications needed to thrive as a data annotation tech remote?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What job categories do people searching Data Annotation Tech Remote jobs in Leander, TX look for?

The top searched job categories for Data Annotation Tech Remote jobs in Leander, TX are:

What cities near Leander, TX are hiring for Data Annotation Tech Remote jobs?

Cities near Leander, TX with the most Data Annotation Tech Remote job openings:

Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Leander, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $45,398 per year, or $21.8 per hour.

Medical Coder - Remote

YO AI Labs

Austin, TX • Remote

$50 - $80/hr

Full-time

Posted 2 days ago

New

Job description

Job Title: Medical Coder

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Medical Coders to contribute their healthcare coding expertise to an innovative project focused on improving next-generation AI systems. In this role, you will review and annotate medical records, evaluate coding accuracy, and provide expert feedback to support the development of high-quality medical datasets. No prior AI experience is required—your coding expertise and attention to detail are what matter most.

Key Responsibilities

  • Review and annotate medical records to accurately assign ICD-10 and CPT codes based on clinical documentation.

  • Apply Evaluation & Management (E&M) guidelines to assess coding levels and validate healthcare datasets.

  • Ensure compliance with current medical coding standards and guidelines.

  • Analyze clinical documentation and identify coding-related ambiguities or inconsistencies.

  • Provide expert feedback on coding guidelines, edge cases, and documentation scenarios.

  • Collaborate with project teams through written and verbal communication to improve AI training data quality.

Required Skills

  • Medical Coding

  • ICD-10

  • CPT

  • CPC Certification

  • Evaluation & Management (E&M)

  • Clinical Documentation Review

  • Coding Accuracy & Compliance

  • Attention to Detail

  • Written & Verbal Communication

Preferred Qualifications

  • Active AAPC Certified Professional Coder (CPC) certification required.

  • Strong knowledge of ICD-10, CPT coding systems, and E&M leveling guidelines.

  • Experience working with diverse clinical documentation types.

  • Ability to interpret complex medical records and apply appropriate coding standards.

  • Strong written and verbal communication skills.

  • Familiarity with digital annotation tools or healthcare data projects is a plus.

  • Commitment to accuracy, quality, and continuous learning in healthcare coding and technology