2

Remote Data Labeling Analyst Jobs in Maine (NOW HIRING)

$101K - $137K/yr

... analysts and data scientists who depend on it. This is an exciting opportunity to work on ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

$101K - $137K/yr

... analysts and data scientists who depend on it. This is an exciting opportunity to work on ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Roughly 1 to 3 years in FP&A, business finance, consulting, banking, data analysis, or a comparable ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

$21/hr

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$21/hr

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$21/hr

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Showing results 41-60

Remote Data Labeling Analyst information

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 Maine?

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

What job categories do people searching Remote Data Labeling Analyst jobs in Maine look for?

The top searched job categories for Remote Data Labeling Analyst jobs in Maine are:

What cities in Maine are hiring for Remote Data Labeling Analyst jobs?

Cities in Maine with the most Remote Data Labeling Analyst job openings:

Director, Research Data Governance & Analytics

The Jackson Laboratory

Bar Harbor, ME • On-site, Remote

$136K - $228K/yr

Full-time

Re-posted 15 days ago


The Jackson Laboratory rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

22nd of 121 rated laboratories


Job description

The Director of Research Data Governance & Analytics leads JAX's research and education data strategy and works closely with stakeholders to advance JAX data capabilities through the development and implementation of governance, use, and AI initiatives. Reporting to the Vice President of Research Administration, this position provides oversight and direction of data management standards, integrity, accessibility, and regulatory compliance throughout the data lifecycle and across the organization's research applications and systems ecosystem. Working closely with researchers and administrators, the Director plays a critical role in driving data-driven decision making at JAX.

Remote with travel as needed

Key Responsibilities (What you contribute):

  • Develop a research data framework in collaboration with stakeholders; create and execute a master research data project plan to implement data collection, operations, reporting, and analytics strategies.

  • Serve as the institutional official responsible for collaboration and coordination across IT, Security, Legal, Compliance, Research, Administration, and Services teams and partner with data-related committees, subject matter experts, and operations teams to implement research data management, including the optimal integration of tools, applications, and technology solutions throughout the research data ecosystem.

  • Facilitate stakeholder engagement to establish and maintain the research data governance infrastructure, policies, standards, and practices; collaborate with stakeholders to foster trust and shared responsibility for research data governance and management.

  • Develop standardized and consistent data governance policies, practices, and procedures that promote information sharing, collaboration, and innovation consistent with ethical, compliance, and security requirements; provide data requirement documents and resources, including, e.g., data definitions/ontologies, data lineage/provenance, workflows, metadata forms, data models, protocols, etc.

  • Promote a culture of data accuracy, transparency, and operational excellence within the research community; oversee the remediation, alignment, and rationalization of research data and metadata; provide oversight for sharing research data to ensure quality, traceability, and usability consistent with FAIR and CARE principles.

  • Prepare and maintain research data governance documentation; monitor emerging data and AI regulations; identify and mitigate risks related to data governance and management; support audits and assessments.

  • Lead the development of research analytics capabilities; define metrics and KPIs to assess research and educational outcomes, translating institutional strategy into measurable performance indicators aligned across programs and reporting requirements.

  • Define, manage, and advance information management principles, policies, programs; create or use tools to track, categorize, and inventory research data; identify data management metrics and design data quality scorecards to monitor and improve data integrity.

  • Establish requirements for reports, communications, and metrics dashboards, advise on the use of AI tools to contribute to continuous process improvements for data management and use across the research enterprise.

  • Develop and deliver outreach, education, and training programs to foster data literacy, integrity, and stewardship.

Knowledge, Skills, and Abilities (What you're good at):

  • 10 years of technical experience, ideally in data governance and management

  • BS degree required, master's preferred

  • 5 or more years of progressive leadership of enterprise-wide programs and/or cross-functional teams

  • Significant knowledge of data governance best practices, data management principles, data architecture, storage, and security requirements

  • Experience executing strategic plans that involved integrating complex, cross-functional processes and information

  • Strong analytical and problem-solving abilities and the ability to conduct independent data analysis

  • Knowledge of regulatory compliance and policy development and education

  • A strong commitment to a collaborative and inclusive decision making

  • Excellent oral and written communication skills, including the ability to explain technical concepts to non-technical audiences

Pay Range: $136,461 - $228,467 based on years of related experience

About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.


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