Junior/Middle Computer Vision Engineer

About the Position

We are seeking a Junior/Middle Computer Vision Engineer to join our AI team, working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

Responsibilities

• Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
• Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
• Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
• Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
• Take ownership of foundational tasks that support the broader team's AI/ML lifecycle, directly contributing to the speed and success of production deployments.

Requirements

• 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
• Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);
• Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
• Foundational coding skills in Python;
• Foundational understanding of machine learning concepts and workflows;
• Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
• Basic familiarity with cloud environments and compute resources;
• A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
• Excellent attention to detail, specifically regarding data quality and documentation;
• Upper-intermediate English level.

We Offer

• Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
• Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
• Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
• Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
• Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
• Well-being & support: access local well-being programs and people-focused support tailored to your location

About the Company

We are a remote-first company, so all our positions are remote. Schedules are flexible, but the main requirement is to have an overlap with your client’s schedule to ensure smooth collaboration. Specific details depend on the project and are discussed during the interview process.