We are looking for
Video Data Labeling Assistant
We are seeking a Video Data Labeling Assistant to support our Data Science (DS) team in annotating and labeling videos for AI purposes.
The ideal candidate will have a keen eye for detail, strong organizational skills, and the ability to work effectively with video annotation tools. This role is critical in helping train and improve machine learning models that drive our AI applications.
- High school diploma or equivalent; Bachelor's degree in a relevant field is a plus.
- Strong attention to detail and a keen eye for accuracy.
- Familiarity with video annotation tools and labeling processes is a plus.
- Good organizational and time management skills.
- Strong communication and teamwork skills.
- Ability to adapt to changing project requirements and priorities.
- Knowledge of machine learning and AI concepts is a bonus.
You Are Going To
- Video Annotation: Accurately annotate and label videos according to predefined guidelines and instructions. Identify and categorize objects, actions, and events within the video content.
- Quality Control: Conduct quality checks on labeled data to ensure accuracy and consistency. Collaborate with the DS team to refine annotation guidelines and maintain high-quality labeled datasets.
- Data Management: Organize and maintain video datasets, ensuring data is properly cataloged and accessible. Assist in the acquisition, storage, and retrieval of video data for various AI projects.
- Tool Proficiency: Become proficient in using video annotation and labeling tools to streamline the labeling process. Provide feedback on tool functionality and suggest improvements when necessary.
- Collaboration: Collaborate closely with the Data Scientists and Machine Learning Engineers to understand the requirements for AI model training. Communicate effectively with team members to resolve labeling issues and provide timely feedback.
- Documentation: Document and report any issues or challenges encountered during the labeling process. Maintain records of labeled datasets, their versions, and any associated metadata.
- Process Improvement: Suggest process improvements and automation opportunities to increase labeling efficiency. Stay updated on best practices in video data annotation and contribute to enhancing labeling workflows.
- Possibility to work remotely
- Reimbursement of medical expenses
- Online morning exercise
- Compensation for trainings, seminars, conferences
- Free access to the Pluralsight and ACloudGuru knowledge base
- Access to the AltexSoft library with top-notch materials
- A mentor for a probation period
- Engagement in our Mentorship Hub program as a mentor or a mentee to foster professional growth and development
- Horizontally — master new technologies at internal courses
- Vertically — choose your own career path through Competency trees
- All your activities are marked by points that can be exchanged for gifts to fit any taste.
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To many people, the world is chaos. To us, it's something a few effective formulas can organize and even change.
Come along if you share our vision
- We were founded in 2007. Employer of the Year (2014, 2017, 2019).
- The AI Ukraine conference and the Know Your Onions meetups organizer.
- R&D centers in Ukraine (Kharkiv, Kremenchuk, Lviv) and Georgia (Tbilisi). We employ more than 300 people.