Company: MacPaw
Location: Remote (HQ in Boston, Kyiv, and Limassol)
Employment Type: Contractor
Application Links:
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No Fluff Jobs
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Trabalha ES
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SideHustles.com
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Talentify
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Tuhustle
✅ Conversational & Empowering (for Multitaskers and Remote-Work Fans)
If you're great with details,
love solving puzzles, and want to work from literally anywhere—keep reading.
MacPaw—the people behind some of the world’s most-loved Mac software—is on the
lookout for a Data Annotation Coordinator to join their growing AI team.
But this isn’t your average “remote contractor” gig. It’s a role where your
coordination superpowers and tech know-how directly impact the smart features
used by millions around the world.
You’ll be organizing, improving,
and overseeing the data annotation pipelines that teach AI how to recognize,
respond, and act like it gets humans. Whether it's text, images, or
voice data, your job is to make sure the training materials for MacPaw's models
are top-notch. You'll be working across time zones, leading teams, implementing
automation tools, and fine-tuning the quality of data like a pro—all with the
flexibility to build your own schedule and work style.
⚠️ Important Application Disclaimer:
Before applying for this position, please carefully read the job description and follow all application instructions. Failure to do so may result in your application being rejected. This ensures that you are well-informed & increases their chances of securing the role as well as to see if this job role is a good fit for you. Make sure you understand the job responsibilities, qualifications, and how to apply before submitting your application.
About MacPaw
MacPaw is a leading software company specializing in developing
applications for macOS and iOS. With
over 30 million users worldwide, MacPaw’s software is installed on
1 in every 5 Mac computers across the globe.
The company prides itself on an open-minded, collaborative work
culture and is deeply committed to innovation in AI and
supporting Ukraine, which is an integral part of its identity.
Why Join MacPaw?
✔️
Be part of a company that values technological innovation and
AI advancements.
✔️
Work with a globally recognized brand that
impacts millions of users.
✔️
Join a remote-first company that embraces flexibility and work-life
balance.
✔️
Contribute to AI development and automation while working with
cutting-edge technology.
Job Overview
MacPaw is seeking a Data Annotation Coordinator to manage and
oversee the data labeling process that powers its AI and machine learning
initiatives. This role requires a technical mindset, strong coordination
skills, and a vision for developing efficient data-processing solutions.
As an AI Data Annotation Coordinator, you will ensure that data is
accurately labeled, processed efficiently, and aligned with AI model
requirements. Your work will be instrumental in improving AI performance for
MacPaw’s suite of applications.
Key Responsibilities
🔹
Oversee the Data Annotation Process
-
Manage and optimize the end-to-end annotation pipeline.
-
Ensure data quality, accuracy, and consistency for
AI model training.
-
Monitor progress and evaluate dataset quality over
time.
🔹
Coordinate & Collaborate
-
Work closely with data scientists, engineers, and AI teams to
define annotation requirements.
-
Communicate with annotation teams (internal & external) to
ensure efficient workflow.
-
Provide training & guidance to annotators for consistent data
labeling.
🔹
Implement Technical Solutions
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Develop automated processes to streamline data labeling
efforts.
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Identify and implement tools for
AI-enhanced annotation.
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Troubleshoot issues related to AI training datasets.
🔹
Quality Control & Improvement
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Establish quality control metrics for annotated data.
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Conduct data validation and error-checking to refine AI
model accuracy.
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Ensure compliance with ethical AI guidelines for unbiased data
labeling.
Required Skills & Qualifications
Skill/Qualification | Requirement |
---|---|
✅ Experience in Data Annotation | Required (2+ years preferred) |
✅ Knowledge of AI & Machine Learning | Strong understanding of AI model training |
✅ Technical Proficiency | Familiarity with annotation tools & Python (preferred) |
✅ Project Management Skills | Ability to oversee multiple annotation projects |
✅ Collaboration & Communication | Experience working with AI/data science teams |
✅ Attention to Detail | High precision in quality control & data validation |
✅ Process Optimization | Ability to improve efficiency in annotation workflows |
📌
Preferred:
✔
Experience in NLP (Natural Language Processing) or
Computer Vision AI
✔
Hands-on knowledge of AI-driven automation tools for annotation
✔
Understanding of bias mitigation in AI training datasets
Compensation & Benefits
💰
Competitive Contractor Pay (Rate varies based on experience)
📍
Remote Work – Work from anywhere!
🕒
Flexible Hours – Work on your schedule while meeting deadlines.
📚
Growth Opportunities – Gain experience in
AI development, data science, and
machine learning workflows.
🚀
Impactful Work – Your contributions will directly improve AI models
used by millions of users worldwide.
Why Is This Role Exciting?
✨
Work with Cutting-Edge AI – Be at the forefront of AI innovation in
data processing & automation.
✨
Be a Key Player in AI Development – Your work will
directly impact AI models used across MacPaw’s software suite.
✨
Join a Forward-Thinking Company – Work with a team that
values technology, collaboration, and efficiency.
✨
Enjoy Remote Flexibility – Work from anywhere while managing
AI-driven data annotation projects.
How to Apply?
📩
Submit Your CV Today!
Apply via:
-
No Fluff Jobs
-
Trabalha ES
-
SideHustles.com
-
Talentify
-
Tuhustle
✅
Application Requirements:
✔
Resume showcasing relevant experience
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style='mso-bidi-font-family: "Segoe UI Symbol";'
>✔
Brief cover letter explaining your experience in AI data annotation &
coordination
✔
(Optional) Portfolio of previous data labeling projects
If you are technically skilled, detail-oriented, and passionate about AI,
we encourage you to apply and join MacPaw’s mission to enhance AI systems
with high-quality data!