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Independent Contractor Machine Learning Visa Sponsorship Jobs

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Avride

Machine Learning Engineer

Austin, TX · On-site

... independently. * Experience working in cross-functional teams within a multidisciplinary ... The employer is not offering relocation sponsorship, and remote work options are not available.

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Together, Hive's solutions are transforming content moderation, brand protection, sponsorship ... Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco ...

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... Full-time regularW2 employment with benefits. (no C2C; no 1099; no visa sponsorship) Compensation:

Care.coach

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

... machine learning applications for practical use * 2+ years in an agile software development ... 1099; no visa sponsorship) Compensation: Competitive depending on qualifications Company ...

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All JobsIndependent Contractor Machine Learning Visa Sponsorship Jobs

Independent Contractor Machine Learning Visa Sponsorship information

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How much do independent contractor machine learning visa sponsorship jobs pay per week?

As of Aug 6, 2026, the average weekly pay for independent contractor machine learning visa sponsorship in the United States is $1,089.33, according to ZipRecruiter salary data. Most workers in this role earn between $721.15 and $1,211.54 per week, depending on experience, location, and employer.

What are common challenges independent contractor machine learning professionals face when working with clients who offer visa sponsorship?

Independent contractor machine learning professionals working with clients who offer visa sponsorship often encounter challenges such as navigating complex immigration requirements and ensuring their work arrangements comply with both local labor laws and visa conditions. Communication across time zones and cultural differences can also add complexity, especially when collaborating remotely with global teams. Additionally, contractors may need to manage their own taxes, benefits, and insurance independently, as these are not typically provided by the client. Building strong relationships and maintaining clear documentation are key to overcoming these challenges and ensuring successful project delivery.

What are the key skills and qualifications needed to thrive as an independent contractor in machine learning when seeking visa sponsorship?

To succeed as an Independent Contractor in Machine Learning, you need advanced knowledge of machine learning algorithms, strong programming skills (typically in Python or R), and a relevant degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (e.g., AWS, Google Cloud) is common, and certifications such as AWS Certified Machine Learning or TensorFlow Developer can be advantageous. Excellent communication, self-management, and problem-solving abilities help you excel in remote or client-driven environments. These skills ensure you can deliver impactful solutions, meet client expectations, and navigate the complexities of working independently and across borders.

What is an independent contractor machine learning visa sponsorship?

An Independent Contractor Machine Learning Visa Sponsorship refers to an arrangement where a company sponsors a visa for a foreign machine learning professional who works as an independent contractor rather than as a direct employee. This setup allows skilled machine learning specialists to provide services to businesses in countries where they need a work visa, but it can be complex due to legal requirements. Some countries limit visa sponsorships to full-time employees, while others may have pathways for contractors, such as through specialized work or freelance visas. It's important for both the contractor and the sponsoring company to understand the specific immigration laws and regulations in the target country.

What is the difference between Independent Contractor Machine Learning Visa Sponsorship vs Data Scientist Machine Learning Visa Sponsorship?

AspectIndependent Contractor Machine Learning Visa SponsorshipData Scientist Machine Learning Visa Sponsorship
CredentialsTypically requires relevant degrees and certifications in machine learning or data scienceRequires similar credentials, often including advanced degrees in data science, statistics, or related fields
Work EnvironmentFreelance or project-based, often remote, with flexible contractsUsually employed full-time by a company or research organization, with structured roles
Employer UsageHired by multiple clients or companies on a contract basisEmployed by a single organization, focusing on data analysis and modeling

Both roles require strong machine learning knowledge and relevant certifications. The key difference lies in employment type: independent contractors work on a project basis with multiple clients, while data scientists are typically full-time employees within organizations. Visa sponsorship options are available for both, depending on the employer and project scope.

What cities are hiring for Independent Contractor Machine Learning Visa Sponsorship jobs? Cities with the most Independent Contractor Machine Learning Visa Sponsorship job openings:
What are the most commonly searched types of Machine Learning Visa Sponsorship jobs? The most popular types of Machine Learning Visa Sponsorship jobs are:
What states have the most Independent Contractor Machine Learning Visa Sponsorship jobs? States with the most job openings for Independent Contractor Machine Learning Visa Sponsorship jobs include:
Independent Contractor Machine Learning Visa Sponsorship jobs near you

Machine Learning Engineer

Hive

San Francisco, CA • On-site

$120K - $180K/yr

Full-time

Re-posted 4 days ago

Job description

About Hive
 
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
 
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
 
Machine Learning Role
 
In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
Responsibilities
  • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
  • Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
  • Utilize OWASP top 10 techniques to secure code from vulnerabilities
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
  • You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
  • You have 1-2 years industry machine learning experience
  • You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
  • You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
  • You know the ins and outs of Python, especially as it applies to the above ML frameworks
  • You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
  • You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
  • You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
  • You have great communication skills and ability to work with others
  • You are a strong team player, with a do-whatever-it-takes attitude
Who We Are
 
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
 
Thank you for your interest in Hive and we hope to meet you soon!
 
The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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