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Remote Data Labeling Analyst Jobs in Houston, TX

All-Star ABA Therapy

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Board Certified Behavior Analyst**Remote

Houston, TX · Remote

$60 - $70/hr

Remote work allowed for supervision, program updates, caregiver training, and team meetings. The ... Comfortable using telehealth platforms and secure data systems * Strong organizational ...

Workiva

Spring 2027 Intern - Data Analytics

Houston, TX · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Dlapiper

Data Scientist

Houston, TX · On-site +1

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Poetic

Revenue Operations Analyst

Houston, TX · Remote

$60K - $70K/yr

You will be the "source of truth" for our data, ensuring that what we promise, what we execute, and ... This position is 100% remote. Essential Duties & Responsibilities * Master our backend architecture ...

CenterPoint Energy

Air Ops Data Specialist

Houston, TX · On-site +1

Job Summary The UAS Data Analyst supports drone-based asset inspection programs by managing ... Ability to obtain and maintain an FAA Part 107 Remote Pilot Certificate and operate UAS on an as ...

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Showing results 21-40

All JobsData Labeling Analyst JobsRemote Data Labeling Analyst JobsRemote Data Labeling Analyst Jobs in Houston, TX

Remote Data Labeling Analyst information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

How much do remote data labeling analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data labeling analyst in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, depending on experience, location, and employer.

What does a remote data labeling analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What are the key skills and qualifications needed to thrive as a remote data labeling analyst?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

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

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are popular job titles related to Remote Data Labeling Analyst jobs in Houston, TX?

For Remote Data Labeling Analyst jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data Labeling Analyst jobs in Houston, TX look for?

The top searched job categories for Remote Data Labeling Analyst jobs in Houston, TX are:

What cities near Houston, TX are hiring for Remote Data Labeling Analyst jobs?

Cities near Houston, TX with the most Remote Data Labeling Analyst job openings:

Remote Data Labeling Analyst jobs near you
Infographic showing various Remote Data Labeling Analyst job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

Data Engineer - Palantir Foundry _____ Remote (TX, USA) ____ Contract

Acestack

Houston, TX • Remote

$117K - $140K/yr

Contractor

Re-posted 22 days ago

Job description

Job Title: Data Engineer – Palantir Foundry
Location: Remote – TX, USA
Long Term Contract


Position Overview
We are looking for a highly experienced and motivated Data Engineers to join our team. This role is ideal for someone with a strong background in PySpark, Python, and SQL, and deep expertise in Palantir’s Foundry data platform. You will be responsible for designing, developing, and optimizing scalable data pipelines to support critical business operations and analytics.
Key Responsibilities
• Develop and maintain robust data pipelines using Palantir Foundry.
• Ingest data from diverse sources (on-premises, cloud, REST APIs, files) into Foundry via Magritte.
• Author and optimize SQL queries for relational databases.
• Prepare, wrangle, visualize, and report data using Foundry tools (Code Workbook, Contour, Fusion, Spreadsheet).
• Troubleshoot and resolve pipeline-related issues to ensure performance and scalability.
• Collaborate with business analysts and subject matter experts to scope and analyze new integration use cases.
• Design data models and perform data cleansing and transformation.
• Build and manage product backlogs and user stories aligned with agile methodologies.
• Create and manage project deliverables across the application development lifecycle.
Qualifications
• Foundry Certified
• 5+ years of hands-on experience in data engineering with PySpark and Python.
• Strong understanding of Palantir Foundry’s architecture and development tools.
• Proficiency in SQL and relational database management.
• Experience with ingesting data via Magritte and optimizing large-scale pipelines.
• Familiarity with agile project methodologies and backlog management.
• Excellent problem-solving skills and ability to work cross-functionally.

Point to be noted, befor applying for this role –

  • Python: 10/10 (will be a coding test)
  • PySpark: 8/10
  • SQL: 10/10
  • Palantir Foundry: 8/10

If interested, please share resume to Bishnuu@acestackllc.com; Anamikav@acestackllc.com

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About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

NJ, US

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