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Remote Data Annotation Analyst Jobs in Kentucky (NOW HIRING)

NV5

Senior Analyst

Lexington, KY · On-site +1

$77K - $102K/yr

... remote sensing, data management, quality control, and project delivery teams. Work Environment ... Geospatial Analysis and Product Development: * Conduct complex geospatial analyses using ...

NV5

Senior Analyst

Lexington, KY · On-site +1

$77K - $102K/yr

... remote sensing, data management, quality control, and project delivery teams. Work Environment ... Conduct complex geospatial analyses using transportation-related data sources, including roadway ...

BrightSpring

Senior Data Modeler

Louisville, KY · Remote

Analyze existing data models and workflows to identify opportunities for improvement in performance ... Ability to orchestrate and influence remote teams, ensuring successful implementation of complex ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations * Enable data for AI/ML use cases by preparing ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations * Enable data for AI/ML use cases by preparing ...

Bluelight Consulting

$94K - $113K/yr

Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data ... Remote apply for this job

Bluelight Consulting

$94K - $113K/yr

Working closely with data scientists, analysts, and other stakeholders to deliver high-quality data ... Remote apply for this job

Woodmac

Research Analyst - Midstream

Louisville, KY · On-site +1

... data covering crude oil pipelines and crude-by-rail terminals in North America and Europe * Develop expertise in pipeline flow modeling and remote sensing networks, applying advanced analytics and ...

Quantam

Business Analyst

Frankfort, KY · On-site

The remote work policy can change at any time, local candidates are preferred. We are seeking a ... Processing and fulfilling data requests and corrections using business knowledge and technical ...

Ceritypartners

CRM Data Analyst

Louisville, KY · Remote

Proven history of being a "self-starter," and a track record of working effectively in a remote ... An appetite for analytical problem-solving and desire to maintain a solutions-oriented approach to ...

Cerity Partners

CRM Data Analyst

Louisville, KY · On-site +1

Proven history of being a "self-starter," and a track record of working effectively in a remote ... An appetite for analytical problem-solving and desire to maintain a solutions-oriented approach to ...

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Remote Data Annotation Analyst information

How does a Remote Data Annotation Analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What are Remote Data Annotation Analysts?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a Remote Data Annotation Analyst, and why are they important?

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
What are the most commonly searched types of Data Annotation Analyst jobs in Kentucky? The most popular types of Data Annotation Analyst jobs in Kentucky are:
What are popular job titles related to Remote Data Annotation Analyst jobs in Kentucky? For Remote Data Annotation Analyst jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Analyst jobs in Kentucky look for? The top searched job categories for Remote Data Annotation Analyst jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Data Annotation Analyst jobs? Cities in Kentucky with the most Remote Data Annotation Analyst job openings:
Remote Data Annotation Analyst jobs near you
Infographic showing various Remote Data Annotation Analyst job openings in Kentucky as of June 2026, with employment types broken down into 2% As Needed, 71% Full Time, 25% Part Time, and 2% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution.
DevOps Engineer (Full Time - Remote)

DevOps Engineer (Full Time - Remote)

Braintrust

Alexandria, KY • Remote

$60 - $90/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.Job description

This contract will begin with a 1 month paid trial which can then extend to 6+ months


Job description:
We're hiring experienced DevOps engineers to author and validate Infrastructure-as-Code (IaC) tasks. You'll design realistic infrastructure scenarios, build the ground-truth solutions, and define the automated checks that grade whether an AI agent solved them correctly and safely. This is hands-on engineering and judgment work — you're encoding what "good" looks like for real infrastructure operations into verifiable tasks. If you've spent years writing Terraform, Pulumi, CloudFormation, cloud CLI, for AWS or GCP, we want to work with you.
What you'll do:

  • Author IaC tasks grounded in real-world AWS and GCP) scenarios.
  • Build ground-truth solutions for each task: correct, idempotent IaC that converges to the desired end state.
  • Design verifiable graders — automated checks that confirm an agent reached the correct end state
  • Review and QA tasks authored by other engineers for correctness, difficulty calibration, and robustness.
  • Harden tasks against reward hacking
  • Document task intent, assumptions, edge cases, and scoring rationale clearly.


Must-have qualifications:

  • 4+ years in DevOps / cloud engineering.
  • Deep, hands-on Infrastructure-as-Code expertise: Terraform (required); Pulumi, CloudFormation, or CDK a plus.
  • Strong AWS and GCP depth
  • Comfortable scripting in Python (and/or Bash) to build and automate validation.
  • A clear sense of correctness and verification — you can articulate, in code, what makes an infrastructure outcome right and safe
  • Prior work in AI evaluation, benchmarking, or expert data annotation preferred.
  • Prior experience with LocalStack preferred

Apply