Machine Learning Project Coordinator - Remote
About the Role
We are seeking a talented Machine Learning Project Coordinator to join our team remotely. In this role, you will play a crucial part in ensuring that our machine learning teams have access to high-quality labeled datasets. Your expertise will help drive the success of our AI initiatives and contribute to the overall mission of Incode.
What You'll Do
- Translate ML requirements into executable and scalable labeling tasks.
- Partner with ML stakeholders to define, iterate, and maintain labeling ontologies and guidelines.
- Ensure labeled datasets meet ML readiness standards for training, evaluation, and experimentation.
- Coordinate labeling capacity and sequencing to support ML roadmaps.
- Build and manage domain-specific labeling squads for ML use cases.
- Identify data quality risks and misalignment early and drive resolution.
- Act as the labeling domain representative in ML-facing discussions.
Requirements
- Experience working in data operations, ML-adjacent programs, or labeling environments.
- Strong ability to reason about data quality, schemas, and labeling definitions.
- Comfortable working with ML or data science teams in technical contexts.
- Strong communication skills and ability to challenge requirements constructively.
- Experience coordinating complex, time-sensitive projects.
Nice to Have
- Familiarity with agile methodologies.
- Experience in a startup environment.
- Knowledge of machine learning frameworks.
What We Offer
- Flexible working hours and workplace.
- Open vacation policy.
- Equal opportunities in a diverse and inclusive work environment.
- Ownership and autonomy in your role.
- Global impact through innovative projects.
This role offers a unique opportunity to join a rapidly scaling unicorn in the AI space. As a Machine Learning Project Coordinator, you will have a significant impact on the quality of data used in machine learning models, working with top-tier clients and a talented team.
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