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Odd In Usa Jobs in California (NOW HIRING)

NEOGOV

Systems Analyst/Programmer

Fremont, CA · On-site

... work odd hours and weekends, dependent upon department operational requirements • Ability to ... Founded in 1999, the company is headquartered in El Segundo, USA, with a team of 501-1000 employees.

TekWissen

Project manager(Asset)

Irvine, CA · On-site

... Europe, USA and APAC in defining business processes and strategic approaches to meet Investment ... odd hours. Qualifications Additional Information Thanks & Regards Bhaskar Email: Bhaskar.k(AT ...

IDBNY

Customer Service Representative

Los Angeles, CA · On-site

$17.25 - $23.50/hr

Customer Service Representative/Teller Los Angeles, California, USA Company Description For more ... Assists in the handling of daily reports, funds transfer requests and client requests relevant to ...

IDBNY

Customer Service Representative

Los Angeles, CA · On-site

$17.25 - $23.50/hr

Customer Service Representative/Teller Los Angeles, California, USA Company Description For more ... Assists in the handling of daily reports, funds transfer requests and client requests relevant to ...

All JobsOdd In Usa JobsOdd In Usa Jobs in California

Odd In Usa information

What are odd jobs in the USA?

Odd jobs in the USA refer to small, temporary, or part-time tasks that don't fall under regular employment. These jobs can range from yard work, handyman services, babysitting, and moving help, to freelance gigs like dog walking or assembling furniture. They are often taken on by individuals looking to earn extra income, fill gaps between permanent jobs, or gain work experience. Many people find odd jobs through word-of-mouth, online platforms, or community boards.

What are the key skills and qualifications needed to thrive as an Odds Analyst in the USA?

To thrive as an Odds Analyst, you need strong quantitative analysis skills, a background in statistics or mathematics, and typically a relevant bachelor's degree. Proficiency with statistical software, spreadsheet tools like Excel, and industry-specific platforms such as R or Python is common. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting findings to stakeholders. These skills ensure accurate odds-setting, risk management, and informed decision-making in the fast-paced betting and gaming industry.

What are some common responsibilities for an Operations Manager in the United States?

Operations Managers in the U.S. typically oversee daily business activities, coordinate between departments, and ensure efficient workflow. They play a key role in streamlining processes, managing budgets, and implementing policies that drive productivity. Collaboration with other teams such as HR, finance, and logistics is essential to address challenges and optimize overall performance. By maintaining operational excellence, Operations Managers directly contribute to achieving organizational goals and long-term growth.

What are popular job titles related to Odd In Usa jobs in California?

For Odd In Usa jobs in California, the most frequently searched job titles are:

What job categories do people searching Odd In Usa jobs in California look for?

The top searched job categories for Odd In Usa jobs in California are:

What cities in California are hiring for Odd In Usa jobs?

Cities in California with the most Odd In Usa job openings:

Odd In Usa jobs near you

Director of Product , Data Flywheel

Redwood City, CA • On-site, Remote

Serve Robotics
Internet and IT • 51 - 200 employees
Learn more about Serve Roboticsexternal

$221K - $275K/yr

Full-time

Re-posted 7 days ago

Key responsibilities

  • Build and drive the roadmap for the Autonomy Data Flywheel.

  • Draft requirements and ensure delivery for all data consumers, including AI, Perception, and Safety teams.

  • Support data pipelines to retain the right data without impacting safety and daily operations.

Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
Data is an integral part of Serve's autonomy stack. As of EOY 2025, Serve has 2000 actively deployed robots making real world deliveries across numerous US cities. 'Autonomy Data Flywheel' is an internal Data product initiative that leverages on this large scale of real world robots and super-charges our End-End AI model development. It covers the entire data lifecycle starting with the data offloading infrastructure on edge, depots, and meeting the engineering needs of training, testing & validation.
Responsibilities
  • Build and drive roadmap for the Autonomy Data Flywheel
  • Draft requirements and ensure delivery for all consumers of the data including End-End AI, Perception, Safety and other teams.
  • Work with engineering teams to set and achieve targets for both quality and quantity KPIs
  • Define and maintain Data Diversity metrics for maximizing scenario coverage on Sidewalk ODD(Operational Design Domain)
  • Cross functional initiatives with Operations and IT teams to drive depot and cloud infrastructure work.
  • Support Data pipelines so that we are retaining the right data without impacting safety and day to day operations

Qualifications
  • Product/Engineering Experience for data infrastructure in AV/Automotive or Robotics/Edge AI industries
  • Experience building production level ML Ops pipelines
  • Fluent with training datasets and evals for AI models
  • Preferred: Experience with data infrastructure at Edge/Depot (E.g. NAS infra) and Cloud
  • Experience with ML Ops, targeted and active learning approaches

*Please note: The listed base salary range applies to candidates based in the San Francisco Bay Area. Compensation may vary depending on location, experience, and role alignment. We are open to qualified candidates working remotely within the United States and Canada
  • USA - ALL: $200k - $245k USD
  • Canada - ALL: $175k - $215k CAD

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