Artificial Intelligence Data Labeler

3 weeks ago


Vancouver, Canada Inverted AI Full time

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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