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Evening Remote Data Annotation Jobs in California

Bioinformatics Engineer - Biosurveillance As molecular data generation and frontier model ... Viral genome reconstruction, annotation, consensus generation, lineage or subtype assignment, and ...

Regional Sales Director

San Jose, CA · On-site +1

$110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Addison, TX (hybrid/remote) Work Environment: Blend of field-based customer engagement and remote ... Occasional evening events for client engagement or industry networking. Your Responsibilities:

Regional Sales Director

San Jose, CA · On-site +1

$110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Occasional evening events for client engagement or industry networking. Your Responsibilities ... Data-driven decision-making mindset and comfort with CRM systems (Salesforce preferred). * Strong ...

Showing results 41-60

Evening Remote Data Annotation information

What is the difference between Evening Remote Data Annotation vs Night Remote Data Annotation?

AspectEvening Remote Data AnnotationNight Remote Data Annotation
Work HoursTypically evening hours, e.g., 4 PM - 10 PMUsually late-night hours, e.g., 10 PM - 4 AM
CredentialsBasic data annotation skills, sometimes requiring familiarity with annotation toolsSimilar credentials, often requiring experience with annotation platforms
Work EnvironmentRemote, flexible hours, often part-timeRemote, flexible, suited for night owls or those with daytime commitments
Industry UsageCommon in AI training data projects across tech and healthcareSimilar industry usage, focusing on continuous data labeling needs

Both roles involve remote data annotation tasks with similar credentials and industry applications. The main difference lies in the work hours, with Evening Remote Data Annotation scheduled during evening hours and Night Remote Data Annotation during late-night shifts. Your choice depends on your preferred working hours and personal schedule.

What are the most commonly searched types of Remote Data Annotation jobs in California?

The most popular types of Remote Data Annotation jobs in California are:

What are popular job titles related to Evening Remote Data Annotation jobs in California?

For Evening Remote Data Annotation jobs in California, the most frequently searched job titles are:

What job categories do people searching Evening Remote Data Annotation jobs in California look for?

The top searched job categories for Evening Remote Data Annotation jobs in California are:

What cities in California are hiring for Evening Remote Data Annotation jobs?

Cities in California with the most Evening Remote Data Annotation job openings:

Infographic showing various Evening Remote Data Annotation job openings in California as of August 2026, with employment types broken down into 52% Part Time, and 48% Contract. Highlights an 100% Remote job distribution.

Vice President of AI Solutions (Confidential Search)

ResourceWell

San Francisco, CA • On-site, Remote

Full-time

Re-posted 8 days ago


Job description

If you enjoy turning complex AI data problems into simple, scalable solutions for demanding customers, this role will feel very familiar. Our client is building AI and data solutions that power some of the most advanced AI workloads in the world, and you will own how those solutions are shaped, packaged and taken to market for key customers. About our client Our client is a global AI and data company that helps leading technology and enterprise organisations build and scale production grade AI.

They combine platforms, tools and a large expert community to deliver training data, evaluation, RLHF and multilingual AI solutions for complex, high impact use cases. The work is global, fast moving and closely tied to the most strategic AI initiatives in their customers roadmaps. The opportunity In this role you will lead solution design and pre sales for the AI data and training portfolio.

You will work with LLM providers and enterprise AI teams to turn complex requirements into scalable, profitable solutions, and you will set the standards for quality and governance across key accounts. What you will do Lead solution design and pre sales for AI training data, RLHF, localisation and multimodal workflows with LLM providers and enterprise AI customers. Work with sales, delivery, product, research, finance and legal to design solutions and proposals that are both technically robust and commercially sound.

Turn complex AI and data requirements into clear architectures, workflows and quality frameworks that delivery teams can execute reliably. Define and champion quality, governance and risk management standards for AI training data, including labelling, evaluation and RLHF. Support RFPs and large pursuits with structured responses, pricing options and customer workshops.

Act as a senior counterpart to key accounts, helping customers think through how to adopt AI data and GenAI solutions in a safe, scalable way. Represent the organisation in senior level discussions about AI data, GenAI and solution strategy, both internally and with customers. Coach and support people around you so that the organisation becomes stronger over time, not more dependent on you personally.

What you bring To thrive in this role you will likely bring: Experience operating at VP or Senior Director level in AI data, LLM, MLOps or a closely related field. A track record of delivering outcomes such as winning complex AI data or GenAI deals, scaling repeatable solution patterns across customers, or standing up new AI data offerings. Clear evidence of working with LLM providers, enterprise AI teams and senior commercial stakeholders on demanding AI initiatives.

Strong understanding of data labelling, annotation, localisation and RLHF workflows, and how they fit into broader AI development lifecycles. Comfort working in a global, multi time zone and multi cultural environment where priorities and customer needs can shift quickly. Strong communication skills with technical and non-technical stakeholders, including C-level.

It is a plus if you also have: Experience from AI data vendors, LLM labs, evaluation or RLHF providers, or large cloud or platform environments. Experience shaping pricing, margin and P and L for AI or data solutions. Visible thought leadership in talks, panels or publications related to AI data, RLHF or evaluation.

Location and set up US based, with a strong preference for the Bay Area. Other major tech hubs may be considered for exceptional profiles. Hybrid or remote first, with some travel to customer and internal leadership meetings as needed.

Package Competitive base salary in the region of USD 300,000. Performance based bonus or OTE, with additional long term upside for strong and sustained performance. About the process This is a confidential search led by ResourceWell, a boutique executive search and talent advisory firm specialising in AI, data, software, and language services.

If your experience is close to what we describe here and you are open to a confidential conversation, you are welcome to apply or reach out directly. We will share more about the company, context and expectations with shortlisted candidates and explore what would need to be true for a move to make sense for you. Requirements VP or Senior Director level experience in AI data, LLM, MLOps or a closely related field.

Proven track record shaping and winning complex AI data or GenAI solutions with enterprise customers. Experience working with LLM providers and/or enterprise AI teams on demanding AI initiatives. Strong understanding of data labelling, annotation, localisation and RLHF workflows.

Strong communication skills with technical and non technical stakeholders, including C level. For full context and outcomes, please see the job description above. Benefits Competitive base salary around USD 300,000 with performance based bonus.

Opportunity to work on high impact AI initiatives with global reach. Senior role with direct exposure to executive leadership and strategic customers. Flexible working set up, with hybrid or remote options depending on location.

Full details will be shared with shortlisted candidates during the process.