Tester (AI Data, Computer Vision)

The Data QC & Model QC Specialist is responsible for ensuring the quality of AI data and Computer Vision / Vision- Language models (VLM) before deploying into real- world products. This role plays a critical part in building a robust, accurate, and scalable data–model pipeline for AI and Robotics systems.

Review and audit data before and after annotation, identifying systemic issues such as misaligned captions, hallucinated descriptions, weak prompts, or inconsistent labeling.
Define and enforce data quality standards for VLMs, covering visual accuracy, textual correctness, vision–language alignment, semantic consistency, and bias/noise detection.
Evaluate VLM performance using both quantitative metrics and qualitative behavior analysis, focusing on correctness, consistency, robustness, latency, and stability in real deployments.
Design evaluation datasets and test protocols for VLM use cases including VQA, instruction following, multimodal reasoning, and human–robot interaction scenarios.
Perform error analysis and deliver clear recommendations for data improvement, prompt refinement, model retraining, and release (go/no- go) decisions.
Ensure the quality of multimodal datasets (image, video, text, captions, instructions) used for VLM training and evaluation, working with internal teams and external data vendors.

Relevant education and experience

Strong analytical mindset with high attention to data quality and model behavior.
Experience working with large- scale datasets and structured evaluation workflows.
Good communication skills to collaborate with AI engineers, researchers, and data vendors.
Solid understanding of how modern VLMs work (vision encoder + language model, alignment, prompting).
Familiarity with evaluating AI systems beyond raw metrics, focusing on semantic correctness and user- facing behavior.
Experience working with AI data pipelines, Computer Vision, VLMs, or multimodal datasets.
Ability to read and understand technical documentation and research papers in English.

Preferred Qualifications

Basic Python skills for data analysis or evaluation scripting.
Hands- on experience with annotation or review tools (e.g. Label Studio, CVAT, or custom review systems).
Experience working with external data vendors or crowdsourced annotation teams.
Exposure to robotics, embodied AI, or human–robot interaction use cases
Understanding of MLOps / model lifecycle management.

Personality/ Attitude

Good communication skills, creative problem- solving skills and attention to detail
Proactive, dedicated, business- oriented, responsible and willing to learn

To be key members in Vietnam branch office and get full opportunity for career development.
13(th) month salary.
International and professional work environment.
Attractive salary package with 100% salary on 2 months of probation and annual salary review.
Full participation in social insurance from the probation period, with 70% of the official salary used as the contribution base.
Up to 18 leave days per year.
Team Building events, marriage cash gift, Lunar Tet cash gift
Oversea on- site & training opportunities

Cập nhật gần nhất lúc: 2026-01-20 13:10:03