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Full Time Remote Data Labelling Jobs (NOW HIRING)

Ark Solutions

Virtual Data Entry Operator (Fulltime, Work from Home) Job Openings Virtual Data Entry Operator ... Remote work flexibility available Supportive and inclusive work environment Chance to work with a ...

Volga Partners

Portuguese Language Data Evaluator

$15/hr

Candidate must have full fluency in both English and Portuguese language. * Full Time Remote ... Label and categorize text and images, ensuring accuracy and quality * Platform Management: Work ...

Aimpoint Digital

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117.80K - $155.30K/yr

Become a trusted data and AI advisor to our clients, from data owners and analytic users to ... Willingness to travel We are actively seeking candidates for full-time, remote work within the US ...

Aimpoint Digital

$116.10K - $153.10K/yr

Become a trusted data and AI advisor to our clients, from data owners and analytic users to ... Willingness to travel We are actively seeking candidates for full-time, remote work within the US ...

Oak View Group

Researcher | Full-Time | Remote

$17.50 - $20/hr

Data entry for contact updates and routebook data received via email. * Customer service for Pollstar Reporters. * Proofing charts and features for weekly publication. * Work closely with Department ...

Spectra

Researcher | Full-Time | Remote

$17.50 - $20/hr

Data entry for contact updates and routebook data received via email. * Customer service for Pollstar Reporters. * Proofing charts and features for weekly publication. * Work closely with Department ...

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Full Time Remote Data Labelling information

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$46K

$165K

$243.5K

How much do full time remote data labelling jobs pay per year?

As of May 30, 2026, the average yearly pay for full time remote data labelling in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Remote Data Labelling jobs? The most popular types of Remote Data Labelling jobs are:
Full Time Remote Data Labelling jobs near you
Infographic showing various Full Time Remote Data Labelling job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 76% Full Time, 12% Part Time, and 7% Contract. Highlights an 94% Physical, and 6% Hybrid job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Remote Data Science Consultant & AI Trainer

Remote Data Science Consultant & AI Trainer

DataAnnotation

Boston, MA • On-site, Remote

$60/hr

Full-time

Posted 18 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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