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Entry Level Lab Assistant Jobs in Hayward, CA (NOW HIRING)

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

This is an entry-level research role for individuals with less than 3 years of research experience ... Have experience running experiments, lab studies, field studies, data collection workflows, or ...

Klinger Moving Company

Tech I

San Leandro, CA · On-site

$21.25 - $23.75/hr

... is to assist in the technology relocation move process by physically and professionally ... The Technician I is an entry level position and will receive appropriate training to ensure he/she ...

Corovan

Tech I

San Leandro, CA · On-site

$21.25 - $23.75/hr

... is to assist in the technology relocation move process by physically and professionally ... The Technician I is an entry level position and will receive appropriate training to ensure he/she ...

Corovan

Tech I

San Leandro, CA · On-site

$21.25 - $23.75/hr

... is to assist in the technology relocation move process by physically and professionally ... The Technician I is an entry level position and will receive appropriate training to ensure he/she ...

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Entry Level Lab Assistant information

See Hayward, CA salary details

$11

$23

$34

How much do entry level lab assistant jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for entry level lab assistant in Hayward, CA is $23.21, according to ZipRecruiter salary data. Most workers in this role earn between $19.04 and $26.44 per hour, depending on experience, location, and employer.

What is an entry level lab assistant?

An Entry Level Lab Assistant supports scientists and researchers by performing basic laboratory tasks, such as preparing samples, organizing lab equipment, and recording data. They follow strict safety protocols and ensure the lab stays clean and organized. This role is ideal for individuals with a background in science who want hands-on experience in a laboratory setting. Depending on the workplace, lab assistants may work in medical, research, or industrial labs. It is a great starting position for those looking to advance in the scientific field.

What are some typical daily tasks for an entry level lab assistant?

Entry Level Lab Assistants typically handle tasks such as preparing and labeling samples, maintaining laboratory equipment, recording data, and helping maintain a clean and organized workspace. You may also assist senior lab staff with routine experiments and monitor inventory of supplies. The role often involves following strict safety procedures and ensuring all activities comply with laboratory standards. This hands-on experience provides valuable exposure to lab techniques and a collaborative team environment, making it an excellent starting point for those interested in scientific careers.

What are the key skills and qualifications needed to thrive in the entry level lab assistant position, and why are they important?

To excel as an Entry Level Lab Assistant, you need basic laboratory skills, familiarity with safety protocols, and a high school diploma or equivalent, with some employers preferring coursework or experience in biology or chemistry. Experience using laboratory equipment like centrifuges, pipettes, and data entry systems is often valuable. Strong attention to detail, communication, and time management skills help you stand out in the role. These abilities ensure that laboratory procedures are performed accurately, efficiently, and safely, supporting the overall success of scientific projects.

Can you get an entry level lab assistant job with no experience?

Entry level lab assistant positions often do not require prior experience, but they typically seek candidates with basic knowledge of laboratory procedures, attention to detail, and sometimes relevant coursework or certifications. Employers may provide on-the-job training to new hires, making it possible to start without previous lab experience.

How do I become an entry level lab assistant?

To become an entry level lab assistant, candidates typically need a high school diploma or equivalent and may benefit from coursework in science or biology. Relevant skills include attention to detail, basic laboratory techniques, and familiarity with lab equipment; some positions may require certification or training provided on the job.

Is it hard to become an entry level lab assistant?

Becoming an entry level lab assistant typically requires a high school diploma or equivalent and basic knowledge of laboratory procedures. Relevant skills include attention to detail, familiarity with lab equipment, and sometimes certification in safety protocols; however, the role often provides on-the-job training. The difficulty varies depending on the specific employer and required qualifications, but it is generally accessible for candidates with a basic science background.

What qualifications do I need to be an entry level lab assistant?

To become an entry-level lab assistant, candidates typically need a high school diploma or equivalent. Relevant skills include attention to detail, basic laboratory techniques, and familiarity with safety protocols; some positions may prefer or require post-secondary education or certifications in science or laboratory procedures.

What are popular job titles related to Entry Level Lab Assistant jobs in Hayward, CA?

For Entry Level Lab Assistant jobs in Hayward, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Lab Assistant jobs in Hayward, CA look for?

The top searched job categories for Entry Level Lab Assistant jobs in Hayward, CA are:

What cities near Hayward, CA are hiring for Entry Level Lab Assistant jobs?

Cities near Hayward, CA with the most Entry Level Lab Assistant job openings:

Entry Level Lab Assistant jobs near you
Infographic showing various Entry Level Lab Assistant job openings in Hayward, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $48,283 per year, or $23.2 per hour.

Research Assistant

Generalist AI, Inc

San Mateo, CA • On-site

$150K - $200K/yr

Full-time

Re-posted 8 days ago

Job description

About Generalist
At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.
The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs-with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2, Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas, Spot, Stretch) and pushed the limits of what they can do (from parkour to manipulation, and testing robustness).
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
About the Role:
We are looking for a Research Assistant to help design, run, and analyze experiments at the intersection of machine learning and robotics. This is an entry-level research role for individuals with less than 3 years of research experience, and is designed to be a potential career path towards eventually contributing as a Research Scientist.
At Generalist, we are building foundation models for robots. These models improve through a tight feedback loop: design experiments, collect data, train or fine-tune models, evaluate them in the real world, analyze results, and repeat. This role helps make that loop faster, more rigorous, and more reliable.
You will work closely with ML researchers and robotics engineers to run robot experiments, design evaluation tasks, brainstorm ideas, collect data, interpret results, and document repeatable workflows.
A major part of this role is helping ensure our evaluations are trustworthy. We care deeply about experimental design, controls, hands-on iteration, sample sizes, variance, repeatability, and statistical rigor.
You'll be responsible for:
  • Running structured experiments on robot platforms
  • Setting up physical tasks, materials, fixtures, and benchmarks for robot evaluations
  • Collecting high-quality robot data and tracking experimental conditions
  • Measuring real-world success rates across tasks, robots, and model variants
  • Designing evaluations with attention to controls, repeatability, statistical rigor, and sources of bias
  • Analyzing results to help distinguish real model improvements from noise
  • Synthesizing findings and communicating them clearly to ML researchers and engineers
  • Preparing robots, sensors, workspaces, and materials for rollouts and evaluations
  • Helping kick off training jobs, run evaluations, and organize results
  • Beta testing internal and third-party tools for teaching robots new skills
  • Troubleshooting physical setups, hardware issues, and procedural bottlenecks
  • Writing clear documentation and playbooks so others can reproduce workflows
  • Improving experimental reliability, data quality, and operational throughput over time
You might thrive in this role if you:
  • Have experience running experiments, lab studies, field studies, data collection workflows, or structured evaluations
  • Think carefully about experimental design, confounding factors, controls, sample sizes, variance, and what conclusions the data can actually support
  • Are diligent and detail-oriented, especially when tasks are repetitive but subtle differences matter
  • Enjoy hands-on work with physical systems, equipment, materials, or instruments
  • Are comfortable following protocols while also noticing when something is wrong or could be improved
  • Can coordinate many moving parts: robots, materials, tasks, data, model versions, metrics, and documentation
  • Communicate clearly and can summarize what happened, what changed, and what the evidence suggests
  • Are curious about machine learning and robotics, even if you are not yet an expert in either
  • Have some exposure to programming, data analysis, robotics, hardware, electronics, mechanical assembly, or experimental tooling
  • Prefer fast iteration, careful measurement, and empirical progress over abstract theory alone

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