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Ai Tasker Jobs in California (NOW HIRING)

Bronco AI

Founding AI Engineer

San Francisco, CA · On-site

Job Summary : Bronco AI is focused on advancing chip development through AI agents that enhance ... tasks -- testbench generation, bug triage, coverage closure • Develop reinforcement learning ...

Leaping AI

AI Deployment Strategist

San Francisco, CA · On-site

$143K - $185K/yr

Leaping AI is a leading voice AI company based in San Francisco and Europe. They are seeking an AI ... for certain tasks • Set up Azure cloud functions • Integrate our technology into customer ...

Eloquent AI

AI Engineer, Agent

San Francisco, CA · On-site

Meet Eloquent AI At Eloquent AI, we're building the next generation of AI Operators-multimodal ... tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global ...

Eloquent AI

AI Engineer, Platform

San Francisco, CA · On-site

... tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global ... As an AI Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered ...

Hum AI

AI Researcher

San Francisco, CA · On-site

AI Researcher Location: San Francisco About Hum.ai Hum.ai is building planetary superintelligence ... Team player, willing to undertake various tasks to support the team. * Familiarity with cloud ...

Eloquent AI

AI Engineer, Multimodal LLMs

San Francisco, CA · On-site

$93K - $124K/yr

Meet Eloquent AI At Eloquent AI, we're building the next generation of AI Operators-multimodal ... tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global ...

Artos AI

Applied AI Engineer

San Francisco, CA · On-site

... and task-specific agents • Experience working with frontier models (e.g., OpenAI, Anthropic, Google) • Experience with AI tools as a user, specifically AI code editors • Developing advanced ...

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Ai Tasker information

What is the easiest AI Tasker job to get?

The easiest AI Tasker jobs are typically entry-level tasks such as data labeling, content moderation, or simple data entry, which often require minimal experience and can be completed remotely. These roles usually involve following clear instructions and may require basic computer skills or familiarity with AI tools. They are often available through online platforms that connect freelancers with short-term or micro-tasks.

What are the key skills and qualifications needed to thrive as an AI Tasker?

To thrive as an AI Tasker, you need a strong understanding of artificial intelligence concepts, data analysis, and problem-solving abilities, often supported by a background in computer science or a related field. Familiarity with AI platforms, automation tools, and workflow management systems is typically required, along with knowledge of APIs and task management software. Strong communication, attention to detail, and adaptability help AI Taskers excel when collaborating and managing diverse, technology-driven assignments. These capabilities are critical for ensuring accurate execution of AI-powered tasks and effective integration with business processes.

What is an AI Tasker?

An AI Tasker is responsible for training, testing, and refining artificial intelligence models by completing various tasks such as labeling data, reviewing AI-generated content, and providing feedback on model outputs. This role helps improve AI systems by ensuring accuracy and relevance in their responses. AI Taskers often work remotely and require attention to detail, critical thinking skills, and familiarity with AI tools.

What does an AI Tasker do?

As an AI Tasker, your day often involves reviewing and managing a variety of AI-assisted assignments such as data categorization, process automation, or QA testing on digital platforms. You may coordinate with team members to clarify project requirements, set priorities, and troubleshoot technical issues that arise during task execution. Regular collaboration with both AI engineers and project managers helps ensure deliverables meet quality standards and deadlines. The workload can be dynamic, requiring flexibility and proactive communication to handle shifting project demands efficiently.

What are the most commonly searched types of Ai Tasker jobs in California? The most popular types of Ai Tasker jobs in California are:
What are popular job titles related to Ai Tasker jobs in California? For Ai Tasker jobs in California, the most frequently searched job titles are:
What job categories do people searching Ai Tasker jobs in California look for? The top searched job categories for Ai Tasker jobs in California are:
What cities in California are hiring for Ai Tasker jobs? Cities in California with the most Ai Tasker job openings:
Ai Tasker jobs near you
Infographic showing various Ai Tasker job openings in California as of August 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 81% In-person, 2% Hybrid, and 17% Remote job distribution.

Founding AI Engineer

Bronco AI

San Francisco, CA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Bronco AI is focused on advancing chip development through AI agents that enhance chip verification and design processes. The Founding AI Engineer will be responsible for developing the core intelligence for these agents, including designing training pipelines and improving decision-making through reinforcement learning.
Responsibilities:
• Design and implement post-training pipelines for domain-specific model behavior across DV tasks — testbench generation, bug triage, coverage closure
• Develop reinforcement learning setups, including reward modeling and RLHF/RLAIF pipelines, to improve agent decision-making on long-horizon verification tasks
• Build tool interfaces, scaffolding, and execution harnesses that allow models to interact reliably with EDA environments and RTL artifacts
• Iterate with silicon domain experts and customers to encode verification knowledge into training data, reward signals, and evals that measure real agent capability — not proxy metrics
• Stay current with frontier research in LLM reasoning, RL for agents, and tool use — and bring what's relevant into production
Qualifications:
Required:
• You have shipped agentic AI systems that work in the real world
• Experience at an industry research lab, as a past founder, or as a founding engineer at an AI startup
• Deep hands-on experience with post-training: RLHF, DPO, or equivalent
• Experience designing evaluation frameworks for LLM or agentic systems
• Strong proficiency in Python and PyTorch
Preferred:
• Background in Electrical or Computer Engineering
• Familiarity with chip design and verification workflows
• Experience with EDA tools (Synopsys, Cadence, Questa, etc.)
• Publications at NeurIPS, ICLR, ICML, DAC, ICCAD, or DVCon
Company:
Bronco AI is an intelligent integration layer across your legacy IT so you can get things done Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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