About Maneva
Maneva, a startup founded by an ex-Google Deepmind researcher, is an AI service provider revolutionizing manufacturing operations with cutting-edge AI solutions for autonomous factory operation and optimization. Our solution generates AI-powered actions and insights using off-the-shelf hardware or existing vision systems for real-impact manufacturing problems in products and equipment inspection, production efficiency, safety, and more.

What You'll Do

As a Data Technician at Maneva, you'll be responsible in monitoring, reporting, and providing correctional feedback of our AI systems' data quality and operational performance. You will ensure the integrity of our machine learning datasets, monitor production applications for anomalies, and serve as the critical bridge between our engineering team, external annotators, and customer success operations. From reviewing edge cases in computer vision datasets to curating data for training processes for customer applications, you will play a vital role in maintaining the high-quality data that powers our AI solutions.

This role combines data analysis, quality assurance, and operational support. You'll work closely with annotators to improve data quality, monitor live production systems for performance issues, and collaborate with customer success teams to ensure smooth operations across manufacturing deployments.

Location: Remote

Compensation: Entry-level pay band; compensation will reflect the candidate’s experience and skills within this band.

Note: This is an entry-level position suitable for candidates without a university degree. We welcome applicants from diverse backgrounds, including those with vocational training, hands-on experience, or self-taught technical skills.

Requirements

**Key Responsibilities**

• Review and validate annotated datasets daily, identifying edge cases and inconsistencies that require domain expertise to resolve correctly

• Interface with external annotation contractors, providing feedback on data quality and updating annotation instructions to improve accuracy and consistency

• Conduct systematic reviews of existing datasets to identify missed or inconsistent annotations, ensuring high-quality training data for AI models

• Monitor production applications for performance anomalies, downtime, and output quality issues, escalating technical concerns to the engineering team

• Collaborate with customer success teams to obtain production schedules and manage SKU training processes for new product variations

• Respond to customer support requests via phone calls and online ticketing systems, providing first-line technical assistance

• Maintain operational awareness of deployed applications, alerting for unusual prediction patterns or system behavior

• Support alert management and follow-up on Grafana notifications, ensuring proper documentation and cleanup of operational tickets

• Document data quality issues, system performance observations, and process improvements for internal knowledge sharing

• Assist with data curation workflows and maintain organized datasets for ongoing model training and validation

What We're Looking For

Must-Haves

• Strong attention to detail and ability to identify patterns and anomalies in large datasets

• Excellent communication skills for interfacing with external contractors and internal stakeholders

• Proficiency with computer usage and general technical troubleshooting abilities

• Ability to work independently and manage multiple concurrent data review tasks

• Customer service orientation with experience handling support requests

Nice-to-Haves

• Experience with SQL and basic programming skills (Python preferred)

• Experience in computer vision, machine learning data annotation

• Familiarity with data annotation tools and processes

• Experience with monitoring and alerting systems (Grafana, JIRA, or similar)

• Experience working with external vendors or contractors

• Background in technical support or customer success roles

• Understanding of AI/ML model training and validation processes

Benefits

**Why Join Maneva?**

• Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation​.

• Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption​.

• Travel opportunities to industrial sites, tech conferences, and research labs.

• Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.

Important Notice: Protecting Your Personal Information

We are committed to ensuring the security and privacy of all applicants. Please be aware that our company will never ask for sensitive personal information, via email, phone call or text message. We also do not require payment from applicants for any part of the hiring process.

If you are contacted by someone claiming to represent our company and asking for such information, please do not respond. Instead, report the incident to us immediately at IT-Security@Maneva.ai.