Machine learning engineer • concord ca
The research teams behind the best-known AI models come to Mercor for machine learning judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is g... Show more
The position provides engineering support to the assigned healthcare system and is responsible for maintaining construction specifications and drawings, maintaining technical reference library of c... Show more
The research teams behind the best-known AI models come to Mercor for machine learning judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is g... Show more
The research teams behind the best-known AI models come to Mercor for machine learning judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is g... Show more
Calex Manufacturing, a subsidiary of Murata Power Solutions, is powering what’s next in high-performance, sustainable power conversion.We serve two of the most transformative technology markets: Se... Show more
ASG believes the future belongs to AI-native companies.We rapidly transform how teams operate, how products are built, and how go-to-market engines grow.We bring deep technical and operational expe... Show more
Safe and Sound Security is California's fastest growing commercial security integrator.We're a commercial security systems and data cabling contractor.We've been serving businesses for 15 years wit... Show more
We are building the real-world J.Senior Engineers excited about bridging the gap between materials/chemistry, data science, and computer science to help us develop a software framework for designin... Show more
BKF is a multi-service infrastructure consulting firm providing civil engineering, construction management, and surveying services across California, the Pacific Northwest, and beyond.With offices ... Show more
About JKI JKI is a software consulting firm headquartered in Walnut Creek, California, with an additional office in Mountain View, California.Established 25 years ago, the company specializes in de... Show more
Office Engineer / Field EngineerOwn Your Future at Psomas Join a 100% employee-owned firm built for long-term thinking, shared success, and meaningful impact.As our Office Engineer / Field Engineer... Show more
Product Owner Artificial Intelligence (AI) for Secure Network Services.The Network Technology organization is responsible for delivering secure, resilient, and high-performing network services tha... Show more
Job Title/Code: FPGA Design Engineer; Job Code: RD400Department: Engineering Reports To: Engineering Manager Job Type: Full-Time, Exempt Location: Concord, CA (On-Site)Position Summary:EMCORE is se... Show more
The research teams behind the best-known AI models come to Mercor for machine learning judgment they can't generate on their own.Your standards and expertise become the rubric that frontier AI is g... Show more
Accenture's Talent Reinvention Partner is helping clients reinvent how people and organizations work, delivering leadership, talent, operating models, workforce intelligence, and change solutions t... Show more
Job description: We are seeking a dedicated and proactive *Safety Engineer* to join our clients team at their facility in Martinez, CA.Reporting directly to the Safety Manager, this critical role ... Show more
Central Garden & Pet is building a modern cloud-based Enterprise Data Platform to support reporting, advanced analytics, and data-driven decision making across its brands and business units.The Dev... Show more
Candidates often screen themselves out of job applications if they do not meet all the qualifications.So, please apply if you're excited about a role at EUV Tech—we would love to see your applicati... Show more
The average salary range is between $ 134,156 and $ 222,200 year , with the average salary hovering around $ 168,000 year .
The average salary range is between $ 124,693 and $ 200,000 year , with the average salary hovering around $ 154,997 year .
The research teams behind the best-known AI models come to Mercor for machine learning judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against. This is a standing listing for machine learning practitioners who want AI training and evaluation work, not a specific job opening. It stays open whether or not a matching project is running this week. New projects start on short notice, so instead of posting and pulling a listing each time, we keep one open per field and draw from it when one begins. **What the work looks like** We match machine learning practitioners in the network to projects like: - Writing a modeling problem from a system you actually shipped, with the data, the objective, and the constraint, plus the reference answer a model's attempt gets graded against - Grading model-written training and evaluation code: whether the loss matches the objective, whether the eval set leaks, whether the ablation supports the conclusion drawn from it - Flagging where a model proposes an approach that would train cleanly and still fail in production, given distribution shift, label noise, or a metric that rewards the wrong behaviour Comparable machine learning projects have posted at $70 to $120 an hour, set per project by scope and depth. **What we're looking for** - Professional experience training, evaluating, or deploying machine learning systems - Clear written communication, since most of the work involves explaining your reasoning - Comfort with ambiguous tasks, and willingness to flag unclear instructions Where you trained matters less than whether you have put models in front of real users and dealt with what came back. **How it works** Apply here with your resume and confirm where you work from, then take a short AI interview, about 20 minutes total. We verify your background and add you to the machine learning pool. When a project needs machine learning expertise, we invite matching people from the pool to that specific listing. It names the rate, the hours, and the client, and any hiring decision is made there. **What to expect** This listing does not accept or reject candidates, so you will not get a decision on it. We reach out when a project matches your background. Depending on what our clients are running, that can be within a week or several months. Finishing the domain expert interview and joining every network you qualify for both improve your odds of being matched. You only need to sign up once to be eligible across all of them.
