Support data analysis, reporting, and other business development projects. Collaborate crossfunctionally with operations, pricing, and commercial teams. Provide guidance to new team members as ACS ...
Support data analysis, reporting, and other business development projects. Collaborate crossfunctionally with operations, pricing, and commercial teams. Provide guidance to new team members as ACS ...
Support data analysis, reporting, and other business development projects. Collaborate crossfunctionally with operations, pricing, and commercial teams. Provide guidance to new team members as ACS ...
Support data analysis, reporting, and other business development projects. Collaborate crossfunctionally with operations, pricing, and commercial teams. Provide guidance to new team members as ACS ...
Remote Data Annotation Analyst information
See Hot Springs, AR salary details
$27.6K - $35.2K
4% of jobs
$35.2K - $42.7K
7% of jobs
$42.7K - $50.3K
13% of jobs
$50.7K is the 25th percentile. Wages below this are outliers.
$50.3K - $57.8K
18% of jobs
The median wage is $61.3K / yr.
$57.8K - $65.3K
16% of jobs
$65.3K - $72.9K
13% of jobs
$75.7K is the 75th percentile. Wages above this are outliers.
$72.9K - $80.4K
9% of jobs
$80.4K - $87.9K
5% of jobs
$87.9K - $95.5K
9% of jobs
$95.5K - $103K
3% of jobs
$103K - $110.6K
2% of jobs
$27.6K
$67.2K
$110.6K
How much do remote data annotation analyst jobs pay per year?
As of Jul 31, 2026, the average yearly pay for remote data annotation analyst in Hot Springs, AR is $67,182.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $78,900.00 per year, depending on experience, location, and employer.
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?
| Aspect | Remote Data Annotation Analyst | Remote Data Labeler |
|---|---|---|
| Required Credentials | Basic computer skills, attention to detail | Basic computer skills, attention to detail |
| Work Environment | Home-based, flexible hours | Home-based, flexible hours |
| Industry Usage | AI, machine learning, data science | AI, machine learning, data science |
| Job Focus | Analyzing and verifying labeled data, quality control | Labeling 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.
Full-time
Re-posted 22 days ago
AAR Corp rating
7.8
Based on 44 frontline employees who took The Breakroom Quiz
22nd of 63 rated aviation services
Job description
The Manager, Business Development plays a central role in driving AAR Component Services' global commercial success. This position leads the coordination, development, and delivery of bid and proposal activity across multiple ACS sites, ensuring accuracy, competitiveness, and alignment with customer requirements. The role also owns key business development data systems, pricing intelligence, and capability management for the global ACS network.
This is a highly visible, crossfunctional role that supports strategic growth initiatives and will increasingly provide leadership and guidance to new team members as ACS expands its business development and data operations footprint.
What you will be responsible for:
Lead endtoend bid and proposal activity for all ACS sites and global customers.
Conduct kickoff meetings, define requirements, and coordinate capability alignment across facilities.
Develop bidding instructions, collect pricing inputs, and assemble complete proposal packages.
Maintain the ACS RFP database, business development pipeline, and opportunity tracker.
Build and update the ACS MRO pricing catalog using historical bid data.
Maintain and update the global ACS capability list.
Support data analysis, reporting, and other business development projects.
Collaborate crossfunctionally with operations, pricing, and commercial teams.
Provide guidance to new team members as ACS expands its data and business development functions.
Bachelor's degree preferred (Business, Aviation, Finance, or related field).
5-7 years of experience in pricing, proposals, business development, or commercial operations.
Strong analytical, organizational, and project management skills
Experience coordinating multisite or multistakeholder commercial activity.
Excellent communication and crossfunctional collaboration abilities
Year One Critical Success Factors:
Reliable, HighQuality Bid & Proposal Execution
Strengthened Business Development Data Infrastructure
Improved Visibility and Accuracy of ACS Capabilities
Demonstrated CrossFunctional Coordination Across ACS Sites
DataDriven Insights That Support ACS Growth
About AAR
Sourced by ZipRecruiter
Industry
Aviation
Company size
5,001 - 10,000 Employees
Headquarters location
Wood Dale, IL, US
Year founded
1951