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Remote Data Annotation Analyst Jobs in Arkansas (NOW HIRING)

CareAbout

Remote Reporting Relationships: This position reports to CareAbout Health's SVP Medical Economics ... BA/BS required in Data Management, Information Systems, Business Analytics, Healthcare, Computer ...

ENFRA LLC

Energy Analyst I

Little Rock, AR · Remote

Collect, compile, organize, and analyze utility consumption data and rates. * Develop a ... Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ...

ENFRA LLC

Energy Analyst I

Little Rock, AR · Remote

Collect, compile, organize, and analyze utility consumption data and rates. * Develop a ... Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ...

ENFRA LLC

Energy Analyst I

Little Rock, AR · Remote

Collect, compile, organize, and analyze utility consumption data and rates. * Develop a ... Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ...

ENFRA LLC

Energy Analyst I

Little Rock, AR · Remote

Collect, compile, organize, and analyze utility consumption data and rates. * Develop a ... Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ...

ENFRA LLC

Energy Analyst I

Little Rock, AR · Remote

Collect, compile, organize, and analyze utility consumption data and rates. * Develop a ... Remote Monitoring * Assist with the collection and evaluation of energy, weather, and building ...

Breakthru

Category Development Analyst

Rogers, AR · Remote

$60K - $75K/yr

Time Type: Full time Remote Type: Job Family Group: Commercial Summary: The Category Development ... This position will lead the effort to review and translate shopper and retail data (internal ...

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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 popular job titles related to Remote Data Annotation Analyst jobs in Arkansas? For Remote Data Annotation Analyst jobs in Arkansas, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Analyst jobs in Arkansas look for? The top searched job categories for Remote Data Annotation Analyst jobs in Arkansas are:
What cities in Arkansas are hiring for Remote Data Annotation Analyst jobs? Cities in Arkansas with the most Remote Data Annotation Analyst job openings:
Remote Data Annotation Analyst jobs near you

Supervisor - Data Services -- Remote

USAble Life

Little Rock, AR • On-site, Remote

$87K - $160K/yr

Full-time

Retirement, PTO

Re-posted 18 days ago

Job description

When it comes to making a meaningful difference in the lives of our customers and employees, USAble Life is always ready. We are a diverse group of individuals working together to go the extra mile. Through our DEI initiatives, employees feel empowered to bring their talents and voice to our culture.
Our passion for delivering the best products is matched only by our passion for our people. We are committed to making a meaningful difference in the lives of others which extends beyond our office walls. USAble Life has a long tradition of supporting our communities, and we're proud of the fact that our employees share that commitment.
We have been recognized as a "Best Places to Work" in Arkansas, Florida, and Hawaii. You'll be rewarded with opportunities for personal and professional development and opportunities for advancement. This, coupled with our engaging culture and a comprehensive benefits package, ensures we are committed to our employees.
Check out how we make a meaningful difference in the lives of others!
https://player.vimeo.com/video/518665804
What We Offer You:
  • A culture that values employees and celebrates, empowers, and inspires a diverse workforce
  • Outstanding and affordable benefits package
  • PTO provided at date of hire
  • 11 paid holidays
  • 401(k) with up to 6% match; fully vested from day 1
  • Remote opportunities with company-provided equipment
  • Team-oriented, collaborative group of peers
  • Career advancement opportunities
  • Leadership mentoring program
  • Tuition Reimbursement
  • Employee Assistance Program
  • Inclusion Council and Employee Resource Groups
  • Recharge Days and Volunteer Time Off
  • This is a remote position.

Life Takes You Places! Are you ready to join us?
The full salary range for the Supervisor - Data Services is $87,000 - 160,000. Actual salaries will vary by geographic location and are based on factors such as candidate's qualifications, experience, skills, competencies, and company tenure & equity. In addition to base compensation, this role is eligible for an annual incentive plan based on company performance and individual performance.
Supervisor - Data Services Overview
Supervises the day-to-day work performed by the Data Services team, with a focus on Data Engineering, BI Reporting, and Data Operations / Production Support. This is a hands-on leadership role responsible for work planning, team execution, and operational reliability of data pipelines, data stores, and reporting deliverables. Partners closely with IT and business stakeholders to deliver trusted data products and analytics while embedding data management and data governance best practices (metadata, lineage, data quality, access controls, and standards) into delivery and operations. Responsible for ensuring corporate data assets and reporting outputs supported by the team align with IT policies, security requirements, and applicable regulatory requirements (e.g., HIPAA, Sarbanes-Oxley).
Essential Duties:
  • Supervises day-to-day execution across Data Engineering, BI Reporting, and Data Operations / Production Support; assigns work, balances priorities, and removes blockers
  • Participates in technical planning for data platform, database, and reporting initiatives; translates roadmap items into executable work
  • Evaluates operational data and reporting needs; partners with stakeholders to gather requirements and recommend solutions
  • Plans and tracks delivery for planned and ad hoc work (work requirements, sequencing, estimates, and status reporting)
  • Provides technical direction (standards, troubleshooting, work procedures) and supports code/solution reviews and operational readiness
  • Makes recommendations regarding priorities, operational improvements, and data service practices that influence outcomes for the broader functional area
  • Leads incident response for data pipelines and reporting: triage, root cause analysis, corrective actions, and documentation
  • Oversees production support practices (monitoring/alerting, deployments, scheduled jobs, runbooks) to meet reliability and SLA expectations
  • Evaluates and helps implement new data tools/solutions; supports integration of new technologies and initiatives (readiness, migrations, knowledge transfer)
  • Ensures adoption of data governance and data management practices (metadata, lineage, data quality monitoring, access controls, and reporting governance)
  • Ensures data and information security practices are followed, including least-privilege access and secure handling of sensitive data (e.g., PHI)
  • Ensures work is performed in accordance with company policies, department procedures, and established technical standards; reinforces consistent execution across the team
  • Coordinates work intake and delivery with customers, vendors/Partners, and other IT teams; communicates status, risks, and dependencies
  • Monitors individual and team performance (timeliness, quality, and SLA adherence); provides feedback, coaching plans, and follow-up to close performance gaps
  • Performs other related duties and responsibilities as assigned

Required Knowledge, Skills, and Abilities:
  • Knowledge of data engineering concepts and practices (data integration, ETL/ELT, scheduling/orchestration, reliability, and operational support)
  • Knowledge of BI/reporting concepts, including semantic layers, report development lifecycle, and supporting consistent metric definitions
  • Working knowledge of data management and data governance practices, including metadata, lineage, data quality, stewardship, and reporting governance
  • Ability to lead day-to-day work delegation, prioritize competing demands, and coordinate delivery across multiple workstreams
  • Strong customer partnership skills, including requirements clarification, expectation setting, and communicating status/risks clearly
  • Strong analytical and problem-solving skills, including incident triage, root cause analysis, and preventive improvement mindset
  • Understanding of security, compliance, and data protection expectations (e.g., HIPAA/PHI, regulatory reporting, retention, appropriate access controls)
  • Strong verbal and written communication skills and ability to collaborate effectively with technical and non-technical stakeholders
  • Understanding of project delivery practices and basic project management concepts (planning, sequencing, dependencies, and milestones)

Required Education and Experience:
  • Bachelor's Degree. May substitute equivalent work experience or demonstrated competency for education
  • 3 - 5 years' experience as a Team Lead
  • 7+ years IT experience, with 5 of those years focusing on building large scale application development and application system design
  • Experience managing customer requirements or demands
  • Or, equivalent military experience

Preferred Education and Experience:
  • Master's Degree in Computer Science or related technical field
  • Experience leading or serving as a team lead in one or more areas: data engineering, BI/reporting, or data operations/production support
  • Experience with a BlueCross BlueShield Plan or other health and/or life insurance-related company
  • Experience working in regulated data environments and supporting data governance practices (metadata, lineage, data quality, access controls)
  • Experience with enterprise data warehouse/data repository concepts and supporting large corporate data repositories, reporting, data marts, and analytics consumers
  • Experience leading project teams including meeting deliverable dates, leading a work team(s) and direct customer contact
  • Experience managing customer requirements or demands

Working Conditions (Physical Demands):
  • Normal, no adverse or hazardous conditions

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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