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Data Labeler Remote Jobs in Kentucky (NOW HIRING)

Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia ... As part of this role, you will not only design and implement data labeling pipelines but also act ...

Senior Insider Threat Engineer

Louisville, KY · Remote

$110K - $150K/yr

Become a part of our caring community (Remote role, though selected candidate is required to live ... Working knowledge of insider threat tactics, techniques, and procedures (TTPs), including data ...

Senior Insider Threat Engineer

Louisville, KY · On-site +1

$110K - $150K/yr

Become a part of our caring community (Remote role, though selected candidate is required to live ... Working knowledge of insider threat tactics, techniques, and procedures (TTPs), including data ...

Senior Insider Threat Engineer

Louisville, KY · On-site +1

$110K - $150K/yr

Become a part of our caring community (Remote role, though selected candidate is required to live ... Working knowledge of insider threat tactics, techniques, and procedures (TTPs), including data ...

Senior Insider Threat Engineer

Louisville, KY · Remote

$110K - $150K/yr

Become a part of our caring community (Remote role, though selected candidate is required to live ... Working knowledge of insider threat tactics, techniques, and procedures (TTPs), including data ...

Senior Insider Threat Engineer

Louisville, KY · On-site +1

$110K - $150K/yr

Become a part of our caring community (Remote role, though selected candidate is required to live ... Working knowledge of insider threat tactics, techniques, and procedures (TTPs), including data ...

Senior Insider Threat Engineer

Louisville, KY · Remote

$110K - $150K/yr

Become a part of our caring community (Remote role, though selected candidate is required to live ... Working knowledge of insider threat tactics, techniques, and procedures (TTPs), including data ...

Data Labeler Remote information

Is data labeling a good career?

Data labeling is a common entry-level role in the AI and machine learning industry, involving annotating data such as images, text, or audio to train algorithms. It often offers flexible remote work options and requires attention to detail and basic technical skills. While it can provide a stepping stone into tech-related fields, it may have limited advancement opportunities without additional skills or certifications.

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

To thrive as a Data Labeler Remote, you need strong attention to detail, basic data analysis skills, and familiarity with data annotation processes, often supported by a high school diploma or equivalent. Proficiency with labeling platforms, annotation tools, and sometimes knowledge of spreadsheet software are typically required. Reliability, time management, and effective communication are crucial soft skills for maintaining accuracy and meeting project deadlines in a remote setting. These skills ensure high-quality, consistent labeled data, which is essential for training reliable machine learning models.

What are some common challenges faced by remote data labelers and how can they be managed?

Remote data labelers often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistent annotation quality, and communicating effectively with distributed teams. To manage these, it's helpful to establish a structured work routine, take regular breaks to prevent fatigue, and use annotation guidelines provided by employers. Leveraging collaboration tools for feedback and clarification also helps maintain high-quality output and fosters a sense of connection with team members.

How much do data labelers get paid?

Data labelers working remotely typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or bonuses, and familiarity with labeling tools can improve earning potential.

What does a remote data labeler do?

A remote data labeler is responsible for annotating or tagging data—such as images, videos, audio, or text—from a remote location, typically working from home. Their work helps train machine learning models by providing accurate, labeled datasets that algorithms use to learn and make predictions. Data labelers follow specific guidelines to ensure consistency and accuracy, and may use specialized software tools to complete their tasks. This role is essential in industries like artificial intelligence, self-driving cars, and natural language processing. Remote data labelers often work as freelancers or as part of distributed teams for tech companies.

What is the difference between Data Labeler Remote vs Data Annotator Remote?

AspectData Labeler RemoteData Annotator Remote
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML data preparationCommon in AI/ML data preparation
Job FocusLabeling data points for machine learningAnnotating data for training AI models

Both Data Labeler Remote and Data Annotator Remote roles involve preparing data for AI and machine learning projects. While the terms are often used interchangeably, Data Labeler Remote typically emphasizes labeling data points, whereas Data Annotator Remote may include more detailed annotation tasks. Both roles require similar skills and are performed remotely, making them accessible for individuals seeking flexible data-related jobs.

What are popular job titles related to Data Labeler Remote jobs in Kentucky? For Data Labeler Remote jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Labeler Remote jobs in Kentucky look for? The top searched job categories for Data Labeler Remote jobs in Kentucky are:
Infographic showing various Data Labeler Remote job openings in Kentucky as of August 2026, with employment types broken down into 55% Full Time, 31% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Freelance Technical Consultant

Toloka

Remote

Full-time

Re-posted 14 days ago


Job description

Company Intro

At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains-from doctors and lawyers to physicists and engineers-and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including AnthropicAmazonMicrosoft, PoolsideRecraft,  and Shopify.

Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail ParakhinCTO of Shopify  and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USAUKthe Netherlands,  Serbia, and more. 

About the Role

Technical consultants play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers' needs and deliver an exceptional experience working with us.
As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions.
We are looking for a person with more than 3 years of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team.

Responsibilities1. Client Ownership & Communication
  • Act as the primary technical point of contact for customers across technical and executive stakeholders.
  • Lead discovery conversations to deeply understand client goals, problems and quality criteria.
  • Translate client needs into clear, actionable solution designs and delivery plans.
  • Advise customers on best practices in data collection, data quality, evaluation, and model training workflows.
  • Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently.
  • Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions.
2. Solution Design & Delivery
  • Design end-to-end data solutions using Toloka's platform, selecting appropriate components, workflows, and quality controls.
  • Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation.
  • Run experiments and pilots to validate quality, throughput, and cost assumptions.
  • Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed.
  • Ensure solutions meet agreed quality, performance, and scalability requirements.
3. End-to-End Ownership & Project Management
  • Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency.
  • Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations.
  • Prioritize work based on customer impact and business value.
  • Analyze data to identify failure modes, inefficiencies, and opportunities for improvement.
  • Continuously optimize solutions through iteration, automation, and adoption of new technologies.
  • Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams.
  • Drive solutions toward stable operation with minimal ongoing maintenance.
RequirementsCore Experience
  • Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager.
  • Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management.
  • Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration).
Technical Skills
  • Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask).
  • Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus.
  • Experience designing multi-stage pipelines and complex systems.
  • Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc..
  • Bachelor's or Master's degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations.
  • Ability to reason about trade-offs between quality, speed, cost, and scalability.
Communication & Ownership
  • Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences.
  • Confidence working with data engineers, ML engineers, and researchers from leading tech companies.
  • Strong ownership mindset: comfortable being accountable for outcomes, not just tasks.
  • Ability to manage multiple projects in fast-paced, ambiguous environments.
Nice to have
  • Experience with crowdsourcing, expert workflows, or large-scale data labeling.
  • Experience working on ML training, evaluation, or agentic systems.
  • Familiarity with quality frameworks, audits, or data validation pipelines.


[Important Notice] Scam Alert Regarding Fake Job Postings

It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware:

  • Official Communication: Our recruiting team will only contact you from an official "toloka.ai" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts.
  • Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process.
  • Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list
What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!