Remote Machine Learning Data Associate

Join a Forward-Thinking Data Team From Anywhere

Step into the dynamic world of artificial intelligence and contribute to the development of intelligent systems—all from your home office. This fully remote role is designed for meticulous, tech-driven individuals eager to support the growth of machine learning systems. If you are passionate about data accuracy, curious about evolving AI models, and thrive in a digital-first environment, this is your chance to make an impact in the tech landscape.

What You'll Be Doing

Data Labeling & Annotation

Your day-to-day work will involve working with a variety of datasets ranging from textual content to speech, images, and video snippets. You'll annotate and categorize this data based on precise, pre-established ML requirements. This task plays a vital role in ensuring that supervised learning models receive the right inputs for training. Your annotations will help shape technologies that are used in digital assistants, smart devices, search engines, and more. Precision, consistency, and context-awareness will be your main tools for success.

Quality Control & Verification

In this role, accuracy is everything. As a Data Associate, you'll regularly review and validate both your annotations and those of your peers. By using internal dashboards and remote analytics tools, you'll track error rates, identify discrepancies, and flag ambiguous data segments. Peer-review cycles and collaborative troubleshooting sessions will allow you to stay aligned with team standards. Additionally, you'll help improve annotation accuracy across the board by sharing insights and contributing to revisions of training guidelines.

Process Innovation & Workflow Improvement

Beyond basic annotation, you’ll play a role in optimizing our processes. By observing bottlenecks or repetitive challenges, you’ll contribute suggestions for automation or streamlining efforts. Whether it’s recommending more intuitive user interfaces on the labeling platforms or identifying redundant workflow steps, your insight will be highly valued. We encourage innovation and actively support employee-led improvements to help enhance productivity and reduce human error.

Team Collaboration in a Digital Space

Although your role is fully remote, it will be intensely collaborative. You’ll join global stand-ups, participate in project retrospectives, and contribute to knowledge-sharing forums. Our internal messaging platforms and task boards will help you stay in sync with your team. You’ll never be left in isolation—support from supervisors, ML engineers, and fellow annotators is always just a message away. Our virtual workspace is as lively and integrated as any physical office.

Tools and Technologies

To help you succeed, you'll work with a curated suite of industry-standard tools:

• Annotation platforms like Labelbox, Amazon SageMaker Ground Truth, and Prodigy
• Data processing tools, including Python, Pandas, and NumPy
• Project coordination via Asana or ClickUp
• Git-based version control for annotation protocols
• Slack and Zoom for real-time communication and collaboration
• Jupyter Notebooks for experimenting with structured outputs and sharing results

You'll be provided with access credentials, usage training, and documentation as needed. A tech-savvy mindset and a willingness to explore emerging platforms will help you excel in this data-rich environment.

Work Culture and Environment

100% Remote Model

Embrace the freedom to work from anywhere while staying engaged with a supportive team. Our flexible scheduling allows you to align your peak productivity hours with project timelines. We respect work-life balance and believe that autonomy fosters better outcomes. Regular touchpoints via video calls, shared dashboards, and documentation ensure you're always connected to your mission and teammates.

A Culture Built on Innovation

Our workplace celebrates experimentation and iteration. We encourage our teams to think critically, raise ideas, and challenge assumptions. From refining our machine learning workflows to improving data ethics, your input helps steer both technical and cultural evolution. Diversity of thought and inclusivity aren’t just values—they're foundational to how we innovate.

Learning and Development

As part of a tech-centric team, your growth is part of the roadmap. You’ll have access to curated training resources, on-demand videos, and mentorship to sharpen your skills. Whether you’re brushing up on deep learning concepts or mastering a new labeling tool, you’ll find plenty of opportunities to learn and evolve within your role.

Qualifications and Requirements

Minimum Requirements

• Academic or practical background in disciplines such as Data Science, Linguistics, Computer Science, or Statistics
• One or more years of hands-on experience in data annotation, dataset refinement, or any form of data operations
• Strong command of English, both written and verbal, for clear and compelling annotation
• Comfortable working with structured, semi-structured, and unstructured data inputs

Bonus Points

• Familiarity with ML concepts like natural language processing, classification models, or image segmentation
• Prior remote experience within tech or AI teams
• Ability to adapt quickly to changing project scopes and software updates

Measuring Success

We’re committed to ensuring you succeed in this role. You’ll be evaluated based on clear, attainable metrics:

• Annotation accuracy and consistency ratings across reviews
• Volume of quality-checked data submitted weekly
• Engagement in team meetings, collaboration efforts, and proactive issue flagging

Meeting these benchmarks opens the door for long-term growth and more technically involved roles. From Annotation Team Lead to Junior Data Scientist, the pathway is yours to define.

Compensation and Perks

• Competitive annual salary of $40,985
• Health reimbursements for remote wellness services
• Monthly home office setup allowance
• Paid online training and certification in AI and ML topics
• Recognition programs to spotlight excellence in data contributions

We understand that great work deserves great support. Our benefits reflect our appreciation for your time, energy, and ideas.

Real-World Impact

The data you annotate is not just static information—it fuels products that touch millions of lives. From enhancing speech recognition engines to training algorithms that personalize user experiences, your role directly shapes the evolution of machine intelligence. By turning raw information into organized insight, you help AI reach its fullest potential.

Your Next Chapter Begins Here

Are you ready to become a cornerstone of the data behind the most innovative technologies on Earth? If you’re focused, curious, and excited to learn alongside innovators in AI, this opportunity is your gateway. Submit your application today and step confidently into the future of remote machine learning. Let’s build more intelligent systems—together.