Artificial Intelligence Data Labeler
4 weeks ago
Inverted AI itself is a Vancouver-based university spin-out start-up with a world-class artificial intelligence team and tremendous upside potential.
**Responsibilities**:
- Intelligently selecting and reviewing computer vision data to label
- Carefully following and documenting data labeling protocols
- Managing large computer files in Linux, Apple, and cloud environments
- Using data entry tools and spreadsheets effectively and correctly
- Using software tools in an extremely detailed manner to efficiently label data
- Reviewing for quality assurance purposes labeled data to find and correct labeling flaws
Desired Experience/Skills:
- A love for and knowledge of driving, machine learning, and artificial intelligence
- Familiarity with Linux, Google cloud services
- Familiarity with video editing
- Data entry experience
- Prior Amazon mechanical turk data labeling experience
- Ability to collaborate with diverse team members including machine learning researchers
- BA/BS plus relevant experience desired; high school plus relevant experience possible
- Highly driven and extremely motivated to learn and work well within a small team environment
We Offer:
- Highly collaborative, very fast-paced, not-boring work environment with access to world-class machine learning talent.
- Hourly pay in the range of $17-$25/hr, relative to skills and experience.
- Paid time off
- Typical startup perqs
**Job Type**: Hourly
Location: Vancouver, BC, Canada
Language: English (required)
Work authorization: Canada (required)
Typical start time: 9AM
Typical end time: 7PM
Pay Frequency: Monthly
Schedule: Monday to Friday
Work Remotely: Not available
**Salary**: $17.00-$25.00 per hour
**Benefits**:
- Casual dress
- Flexible schedule
Schedule:
- 8 hour shift
- Monday to Friday
Ability to commute/relocate:
- Vancouver, BC: reliably commute or plan to relocate before starting work (required)
**Education**:
- Secondary School (required)
**Experience**:
- data labelling: 1 year (preferred)
Work Location: One location
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