Data Acquisition Analyst ( Japanese, French) - R01572719
Required skills
- AI Models
- Scam Detection
- Deepfake Detection
- Data Cleaning
- Data Validation
- Data Transformation
- Python
- Node
- Databases
- APIs
Nice to have
- Data Manipulation
- German
- Spanish
Role summary
Brillio is seeking AI Training Data Acquisition Analysts fluent in Japanese and French to join their AI teams. This role involves collecting, processing, and analyzing data from various sources to train AI models for scam and deepfake detection. Responsibilities include data labeling, cleaning, validation, transformation, extraction, and integration. The analyst will collaborate with data scientists and engineers, communicate findings to stakeholders, and stay updated on data science trends. An interest in data science, organizational skills, attention to detail, and strong communication are essential. Experience with Python and data manipulation is a plus.
Primary Skills
Specialization
Job requirements
LOCATION - 2 DAYS IN FRISCO, REST REMOTE FOR THE WEEK.
Language Skills; Japanese, French - Top 2 priorities, German, Spanish (less important).
Summary
At Brillio, we are looking for the next members of our AI teams. As our AI Training Data Acquisition Analyst, you'll help us collect, process, and analyze data from various sources and work with a team of experienced Data Scientists and Engineers to support data-driven decision-making and product development.
Join our team and help us accelerate the bridging of advanced AI technologies and customer expectations.
About The Role:
• Apply labels to collected data for the purpose of training AI models for in field scam/deepfake detections
• Perform data cleaning, validation, and transformation with analytical tools and programming languages (Python, Node).
• Extract and integrate data from various sources, such as databases, APIs, web scraping, etc.
• Communicate findings and recommendations to stakeholders using clear and concise language and visuals.
• Collaborate with data scientists and engineers to support data modeling, machine learning, and experimentation.
• Keep up to date with the latest trends and developments in data science and related fields.
About You:
• An interest in data science and willing to learn and apply new skills and tools.
• Skills in organizing data and attention to detail.
• Ability to work independently and as part of a team.
• Excellent communication and presentation skills.
• Experience with Python or similar programming language and experience with data manipulation is a plus.
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