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Home Based Remote Data Labelling Jobs in Arizona

Waabi

Senior Software Engineer, Auto Labelling

Phoenix, AZ · On-site +1

$170K - $220K/yr

Bonus/nice to have: - Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion ... Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with ...

Arsenault Inc

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau). Exhibits analytical rigor, judgment, and ability to present a ...

Prosperity Home Mortgage

Closer - Remote - CST

Scottsdale, AZ · Remote

$13.75 - $18.50/hr

Join a Team Where Accuracy, Service, and Excellence Matter Prosperity Home Mortgage is seeking a ... Verify tax, insurance, and loan data accuracy. * Ensure disclosure timing requirements are met.

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Home Based Remote Data Labelling information

What is the difference between Home Based Remote Data Labelling vs Home Based Remote Data Entry?

AspectHome Based Remote Data LabellingHome Based Remote Data Entry
CredentialsBasic computer skills, attention to detailBasic computer skills, accuracy
Work EnvironmentOnline platforms, flexible hoursOnline or offline, flexible hours
Industry UsageAI training, machine learningAdministrative, record keeping
Search & Comparison IntentUnderstanding data annotation rolesUnderstanding data input roles

Home Based Remote Data Labelling involves annotating or tagging data for AI and machine learning projects, requiring attention to detail and familiarity with online tools. In contrast, Home Based Remote Data Entry focuses on inputting data into systems, emphasizing accuracy and speed. Both roles are flexible, online-based, and in demand, but they serve different industry needs and skill sets.

What are the most commonly searched types of Remote Data Labelling jobs in Arizona? The most popular types of Remote Data Labelling jobs in Arizona are:
What cities in Arizona are hiring for Home Based Remote Data Labelling jobs? Cities in Arizona with the most Home Based Remote Data Labelling job openings:
Home Based Remote Data Labelling jobs near you

Senior Software Engineer, Auto Labelling

Waabi

Phoenix, AZ • On-site, Remote

$170K - $220K/yr

Full-time

Re-posted 15 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...
- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.
- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.
- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.
- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.
Qualifications:
- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
- 3+ years of experience developing solutions in ML systems or the ML software stack.
- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.
- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.
- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code.
- Open-minded and collaborative team player with the willingness to help others.
 
Bonus/nice to have:
- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.
- Experience working with large Vision-Language Models (VLMs)
The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.