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Hatchery Intern Jobs in California (NOW HIRING)

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Hatchery Intern information

What is a hatchery intern?

Hatchery interns are individuals, often students or recent graduates, who assist with the daily operations of fish or poultry hatcheries as part of their education or early career experience. Their tasks typically include monitoring the incubation process, caring for eggs and young animals, recording data, cleaning equipment, and helping with research or breeding programs. This role provides hands-on training in animal husbandry, aquaculture, or poultry science and helps interns gain practical skills and industry knowledge. Hatchery internships are valuable for those interested in agriculture, fisheries, or wildlife management careers.

What are some typical responsibilities and learning opportunities for a hatchery intern?

As a Hatchery Intern, you can expect to assist with daily tasks such as monitoring water quality, feeding larvae, cleaning tanks, and recording data related to fish or shellfish development. The role offers hands-on experience with hatchery operations, giving you exposure to aquaculture techniques and biosecurity protocols. You'll likely work closely with experienced technicians and biologists, providing a collaborative environment to ask questions and gain practical knowledge. Interns often have opportunities to participate in research projects or process improvements, which can be valuable for future career advancement in aquaculture.

What are the key skills and qualifications needed to thrive as a hatchery intern, and why are they important?

To thrive as a Hatchery Intern, you generally need a background in biology, aquaculture, or environmental science, often supported by coursework or relevant internships. Familiarity with water quality testing equipment, data entry systems, and basic laboratory procedures is typically required. Strong attention to detail, teamwork, and adaptability are crucial soft skills for this role. These competencies ensure the successful monitoring and care of aquatic species, as well as the smooth operation of hatchery activities.

What is the difference between Hatchery Intern vs Hatchery Technician?

AspectHatchery InternHatchery Technician
CredentialsHigh school diploma or equivalent; some related courseworkHigh school diploma; technical training or certification often preferred
Work EnvironmentEntry-level, supervised environment, learning-focusedHands-on, operational environment with more responsibility
Job ResponsibilitiesAssisting with hatchery tasks, observing processesPerforming hatchery operations, maintaining equipment

The main difference between a Hatchery Intern and a Hatchery Technician is experience and responsibility. Interns are typically students or entry-level workers gaining exposure, while Technicians perform more active, technical tasks in hatchery operations.

What are the most commonly searched types of Hatchery jobs in California?

The most popular types of Hatchery jobs in California are:

What are popular job titles related to Hatchery Intern jobs in California?

For Hatchery Intern jobs in California, the most frequently searched job titles are:

What job categories do people searching Hatchery Intern jobs in California look for?

The top searched job categories for Hatchery Intern jobs in California are:

What cities in California are hiring for Hatchery Intern jobs?

Cities in California with the most Hatchery Intern job openings:

Hatchery Intern jobs near you
Infographic showing various Hatchery Intern job openings in California as of July 2026, with employment types broken down into 70% Full Time, 10% Part Time, and 20% Temporary. Highlights an 100% In-person job distribution.

Research Intern, Computer Vision

Attentive

San Francisco, CA • On-site

Other

Posted 3 days ago

New

Job description

About Attentive.ai:
Attentive.ai builds AI for construction and field services. Our takeoff and estimating platform, Beam AI, is used by 1,200+ contractors across the US and Canada and has completed over 500,000 takeoffs. Attentive.ai is transforming the field services and construction industries with our flagship AI solution - Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights. More than 1k+ businesses across the U.S. and Canada already use our products to boost sales velocity and streamline operations. We have raised $30.5M in Series B funding, accelerating our mission to make advanced AI tools accessible, practical, and impactful in the real world. We are proudly Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures.
About the Role:
As a Research Intern, you'll work on the computer vision and deep learning that power automated takeoff and estimation. The core problem is unsolved: a plan set is hundreds of pages drafted to dozens of CAD conventions, where the same primitive is a wall, a hatch pattern, or a leader line depending on context a model has to infer.
You'll own one scoped research problem end to end, paired with a senior researcher - framing it, running the experiments, and building a prototype evaluated on real data. It won't be a side project; it'll be something on the team's roadmap.
What You'll Do:
  • Own one research problem end to end: framing, data, experiments, and a prototype that runs on real drawings
  • Train and evaluate deep learning models for object detection, segmentation, or structured extraction on vector and raster construction drawings
  • Explore self-supervised and representation learning on our corpus of unlabeled drawings
  • Work with multimodal signals, combining visual layout, geometry, and text
  • Design the evaluation for your problem, and present results to the research team
What We're Looking For:
  • Currently pursuing a Master's, or PhD in Computer Science, AI/ML, Data Science, Mathematics, Electrical Engineering, or a related field
  • Strong foundations in Python and at least one deep learning framework (PyTorch or TensorFlow)
  • Coursework or project experience in computer vision, image processing, or machine learning
  • Curiosity about applied research and a willingness to iterate quickly on ideas
  • Comfortable working in a fast-paced, startup-like environment with close collaboration
  • Clear written and verbal communication skills
Nice to have:
  • Prior research experience, publications, or projects in computer vision or deep learning
  • Familiarity with vector graphics and CAD formats (SVG, DXF, DWG, IFC)
  • LLM and NLP experience like structured extraction, retrieval over long documents
  • Experience with cloud environments (GCP, AWS, or Azure)
How We Work:
  • Empirical over theoretical - we'd rather run the experiment than argue about it
  • Truth-seeking, including about our own results. A negative result reported early is worth more than a positive one defended late
  • Research is judged by whether it holds up in front of 1,200 contractors, not by whether it's clever
  • Honest feedback, given directly

Compensation:
The stipend range for this role is 80-90$ per hour. The final offer depends on experience and level.

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