Come join the Machine Learning team to help manufacturers in every industry eliminate waste and improve the quality of their products using machine learning and cloud computing. Elementary is looking for a Data Labeling Specialist to join our growing team. You will be responsible for accurately labeling and categorizing data on our application, which is critical for the training of machine learning models. This role involves ensuring data is correctly annotated, and adhering to labeling guidelines specified by our customers to maintain data quality and consistency.

The ideal candidate is one who is passionate about working with cutting edge technology, and comfortable operating a software application. You pay attention to detail, are curious minded and are passionate about helping our customers maintain product quality.

Responsibilities Include

• Data Annotation: Accurately label and categorize pictures following specific guidelines and standards.
• Quality Assurance: Review and verify the accuracy of labeled data, ensuring consistency and compliance with project requirements.
• Collaboration: Work closely with customers, machine learning engineers, and other team members to understand labeling requirements and improve the annotation process.
• Documentation: Maintain detailed records of labeling processes, guidelines, and any challenges encountered during data annotation.
• Feedback Implementation: Provide feedback on labeling tools and processes and suggest improvements to enhance efficiency and accuracy.

About Elementary

Elementary delivers a full-stack, ML-driven visual inspection solution that enables global manufacturers in any industry to close the loop on their production quality. Leveraging computer vision, edge computing, and cloud-based machine learning models, Elementary's proprietary platform is leading the way for massive change in automated manufacturing. For more information on Elementary visit https://www.elementaryml.com/ and follow us on LinkedIn.

Required qualifications

• High school diploma or equivalent
• Fluent in English, spoken and written
• Attention to detail: High level of accuracy and attention to detail, with the ability to follow complex guidelines.
• Communication: Strong communication skills, with the ability to clearly understand and execute labeling instructions.
• Located in the CDMX area

Bonus qualifications

• Familiar with industrial automation
• Software skills
• Experience in data labeling, annotation, or a similar role is preferred but not required.

Compensation & Benefits

When joining Elementary, you'll become an integral member of our small community and will receive the following benefits:

• Full legal benefits with affiliation to IMSS and INFONAVIT
• Major medical insurance and life insurance
• Flexible vacation schedule
• Ability to work remotely (for local residents)
• A team culture focused on inclusivity, curiosity, personal and technical humility, ownership, and work/life balance