ZipRecruiter

Log In

2

Remote Curator Jobs in California (NOW HIRING)

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site +1

$144K - $194K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... manual curation constraints. * Establish Systematic Evaluation: Collaborate with Knowledge ...

Fieldguide

Senior AI Engineer, Quality

San Francisco, CA · On-site +1

$200K - $250K/yr

We're based in San Francisco, CA, but built as a remote-first company that enables you to do your ... datasets by curating production traces. * Design prompts, retrieval pipelines, and agent ...

Vesta Home

Buyer

Los Angeles, CA · On-site +1

This is a remote position. Our Core Values: * Get it done!: We have a bias toward action, balancing ... Analyze assortment performance and curation against usage rates, staging cost per square foot ...

Stratford Davis

Virtual Sales Associate

San Jose, CA · Remote

$85K - $150K/yr

Step into a high-growth, remote role where you can build a meaningful career helping individuals and families achieve long-term financial security. As a Virtual Sales Associate, you will connect ...

previous page

Showing results 41-60

All JobsCurator JobsRemote Curator JobsRemote Curator Jobs in California

Remote Curator information

See California salary details

$25.2K

$71.7K

$117.9K

How much do remote curator jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote curator in California is $71,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $92,800.00 per year, depending on experience, location, and employer.

What is a remote curator?

A Remote Curator is responsible for selecting, organizing, and managing content, collections, or digital assets for online platforms, museums, galleries, or media companies. This role often involves researching, categorizing, and presenting materials to engage audiences or support a brand's content strategy. Remote Curators may work with art, articles, videos, or other forms of digital media. Strong analytical skills, attention to detail, and knowledge of the subject matter are typically required. Many positions also involve collaboration with designers, writers, and marketers to optimize the presentation of curated content.

What are the key skills and qualifications needed to thrive as a remote curator?

To thrive as a Remote Curator, you need expertise in content selection, organization, and research, usually backed by an academic background in art history, museum studies, or a related field. Familiarity with digital asset management systems, collection databases, and virtual exhibition platforms is often required. Strong written communication, collaboration, and self-management skills are essential for effectively engaging audiences and working with remote teams. These competencies are critical for ensuring high-quality curation, smooth digital workflows, and impactful virtual experiences.

What are some common challenges faced by remote curators, and how can they be addressed?

Remote Curators often encounter challenges such as coordinating projects across different time zones, managing digital collections without physical access, and ensuring effective communication with team members and stakeholders. To address these, it's helpful to develop strong organizational habits, schedule regular virtual meetings, and leverage collaborative tools like project management software and video conferencing platforms. Proactively engaging with colleagues and maintaining detailed documentation can also streamline workflow and minimize misunderstandings. By adapting to the unique demands of remote work, curators can continue to deliver engaging and cohesive exhibitions from any location.

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

The most popular types of Curator jobs in California are:

What are popular job titles related to Remote Curator jobs in California?

For Remote Curator jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Curator jobs in California look for?

The top searched job categories for Remote Curator jobs in California are:

What cities in California are hiring for Remote Curator jobs?

Cities in California with the most Remote Curator job openings:

Remote Curator jobs near you
Infographic showing various Remote Curator job openings in California as of August 2026, with employment types broken down into 76% Full Time, 14% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $71,675 per year, or $34.5 per hour.

Senior Machine Learning Engineer

Career Renew

Los Angeles, CA • Remote

$165K - $225K/yr

Full-time

Re-posted 28 days ago

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.
We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis.
Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities.

About the Role

We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows.
Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications
Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements
Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks
Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges
Explore image representation in latent space for efficient, high-fidelity virtual staining
Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap

Collaboration
Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements
Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures
Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems
Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines
Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches

Required Qualifications

PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field
Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising
Expert proficiency in Python and PyTorch and other scientific computing environments a plus
Strong mathematical foundation in linear algebra, probability, and optimization
Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure)
Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles
Experience with feature search, data balancing, and data curation pipelines.
Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines
Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment
Extensive use of AI tools for coding, optimization, and ideation

Preferred Qualifications

Experience with medical imaging, digital pathology, or whole slide image (WSI) processing
Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem
Background in generative models and fine-tuning of foundation models
Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton
Experience with hosting computer vision model inference on NVIDIA DGX Spark.
Understanding of FDA regulatory requirements for AI/ML in medical devices
Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices
Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility

What We Offer

The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.