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Data Annotator (rotational shifts w/ weekends)

Join Motive as a Data Annotator to enhance safety products through data analysis and collaboration in a 24/7 operational environment.

Location
Mexico City, Mexico
Compensation
Not disclosed
Level
Not specified
Type
full time

Posted by employer 7 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 5 days ago

Apply at Motive → Save job Scanned from gomotive.com

AI in the day-to-day

You would work closely with the Research & Development teams to power in-house Machine Learning and Artificial Intelligence models.

Requirements

Education
Bachelor's degree

Not disclosed in this posting: compensation, seniority, years of experience, work arrangement, visa sponsorship.

Joblaze summary

In this role, the Data Annotator reviews and analyzes live video footage from dashcams to identify risks, ensuring data accuracy and consistency. Key skills include a strong attention to detail and familiarity with data annotation processes, as well as a background in computer science or related fields. This position is ideal for individuals who thrive in a collaborative, fast-paced environment and are eager to contribute to the development of AI and machine learning applications in the trucking industry. The role requires flexibility with rotational shifts, including evenings and weekends, to support a 24/7 operational model.

Joblaze insights

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Artificial Intelligence, Machine Learning.
Is this full-time or contract?
Full-time for this Data Annotator (rotational shifts w/ weekends) role at Motive.

From the original posting

Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

About the Role:
Being customer obsessed and data driven is what drives this role. We’re looking for individuals who can empathize with users, and work towards making their everyday lives easier. If you’re analytical, detail-oriented, and organized, but also excited to roll up your sleeves and get your hands dirty, you’d fit right in. The role will require rotational working hours to ensure smooth operational running of the 24/7/365 real-time set up, and collaboration with a global team. This role directly powers a critical live customer-facing product safety product, which forms the foundation for multiple other safety features. You would be the expert at risk identification, for all our customers using our safety products. You would also work closely with the Research & Development teams, to power our in-house Machine Learning and Artificial Intelligence models, by generating high quality training datasets. This requires an understanding of data requirements, data definitions, edge-cases, tooling and review processes. In addition to that, you would also work closely with the Product team to run proof of concepts and experiments, which guide the direction of our Safety product suite, particularly in the areas of risk identification, mitigation, and reduction. You would also contribute toward analyzing data to improve the user experience for our customers. You’ll work a regular five‑day schedule, including day, evening and/or overnight and weekend shifts as part of a rotation. Overnight (11pm - 7am for example) shifts include enhanced compensation where applicable.

What You'll Do:
  • Review and analyze live videos captured by Motive's dashcam for risk identification, based on the known risk factors combined with the contextual knowledge which would vary from case to case.
  • Adhere to the established guidelines and protocols for annotation to ensure consistency and reliability of data.
  • Ensure timely delivery of accurate data as per SLAs.
  • Consistently strive to enhance the annotation procedures and play a role in shaping the team's best practices through active participation.
  • Exhibit flexibility and adaptability in taking on new responsibilities beyond the scope of the defined job description, showcasing a proactive and versatile approach to work.
What We're Looking For:
  • Preferably, a Bachelors in Computer Science, IT, Management or related field.
  • Detail oriented and organized, with a growth mindset.
  • Thinks, designs and executes keeping customers at the center of the solution.
  • Interested in learning about the annotation landscape and application of AI/ML in the trucking industry.
  • Ability to work collaboratively, in a 24/7/365 set up, with strong context in between them.
  • The position requires working day, evening and overnight shifts and weekends, while maintaining a standard five-day work week overall.
  • Good communication skills, oral and written.
  • Ability to work on multiple projects and tools, and switch context in between them.

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

All job postings are for existing vacancies. Please note; some interviews or new-hire training sessions may be held in person at one of our global offices.

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