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Home Based Cohere Ai Jobs (NOW HIRING)

Cohere

Accounts Receivable (AR) Associate

Phoenix, AZ

$22.12 - $23.08/hr

... based on experience, skills, and qualifications. Collaboration. Authenticity. Connection ... Balance. At Cohere, we believe community is the most valuable amenity. We do more than manage ...

Cohere

Marketing Chief of Staff

New York, NY · On-site

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI ... You can talk credibly about how a campaign turns into pipeline, what account-based marketing ...

Cohere

Community Life Coordinator

Bluffton, SC

$20 - $23/hr

... based on experience, skills, and qualifications. Wednesday-Sunday | 9:00 a.m.-6:00 p.m ... Balance. At Cohere, we believe community is the most valuable amenity. We do more than manage ...

Cohere Health

Clinical Review & Correspondence RN

$31 - $35/hr

... based, align with regulatory and accreditation standards, and are communicated effectively and ... Cohere Health's clinical intelligence platform and agentic AI-powered solutions connect health ...

Cohere

Lead Ambassador

Bonney Lake, WA

$25/hr

Balance. At Cohere, we believe community is the most valuable amenity. We do more than manage ... home and where meaningful relationships flourish. We're looking for a Lead Ambassador to join our ...

Cohere

Lead Porter

Austin, TX · On-site

$21.64 - $26.44/hr

... based on experience, skills, and qualifications. Collaboration. Authenticity. Connection ... Balance. At Cohere, we believe community is the most valuable amenity. We do more than manage ...

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Home Based Cohere Ai information

What is a home based Cohere AI?

A Home Based Cohere AI job typically refers to remote positions offered by Cohere, a company specializing in artificial intelligence and natural language processing technologies. These roles allow employees to work from home and may include positions such as machine learning engineers, research scientists, or customer support for AI products. Working remotely for Cohere AI provides flexibility while contributing to cutting-edge advancements in AI and language models. Applicants usually need relevant technical skills and experience in AI or software development. Cohere values collaboration, even in a remote setting, so strong communication skills are also important.

What are some common challenges faced by remote team members working in a home based Cohere AI role, and how can they be effectively managed?

Working remotely in a home-based Cohere AI position often involves challenges such as maintaining clear communication with team members across different time zones and staying self-motivated without in-person supervision. To address these, it's important to establish a structured daily routine, make proactive use of collaboration tools like Slack or Zoom, and set regular check-ins with your team. Building strong relationships through frequent virtual meetings and participating in online knowledge-sharing sessions can also help bridge the gap and foster a supportive, productive work environment.

What is the difference between Home Based Cohere Ai vs Data Scientist?

AspectHome Based Cohere AiData Scientist
CredentialsTypically requires knowledge of AI tools, programming, and data analysisRequires degrees in computer science, statistics, or related fields, often with certifications
Work EnvironmentRemote, flexible, often project-basedCan be remote or on-site, usually in corporate or research settings
Industry UsageUsed in AI development, NLP projects, and machine learning tasksApplied across industries for data analysis, modeling, and insights

Home Based Cohere Ai roles focus on AI tool application and development in a remote setting, often requiring programming skills. Data Scientists analyze data to generate insights, typically with formal education and work in diverse environments. While both roles involve data and AI, their focus, credentials, and work settings differ significantly.

What are the key skills and qualifications needed to thrive as a home based Cohere AI specialist?

To thrive as a Home-Based Cohere AI Specialist, you need a strong background in machine learning, natural language processing, and computer science, often supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud platforms, as well as experience using Cohere's APIs, is typically required. Excellent problem-solving, self-motivation, and remote communication skills help candidates excel in this position. These skills and qualities are vital for developing, optimizing, and deploying AI solutions effectively in a remote environment.
More about Home Based Cohere Ai jobs
What cities are hiring for Home Based Cohere Ai jobs? Cities with the most Home Based Cohere Ai job openings:
What are the most commonly searched types of Cohere Ai jobs? The most popular types of Cohere Ai jobs are:
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Home Based Cohere Ai jobs near you
Infographic showing various Home Based Cohere Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Member of Technical Staff, Integration/RL Team (Research Engineer)

Cohere

New York, NY • On-site

Full-time

Medical, Dental, Retirement, PTO

Re-posted 23 days ago

Job description

Who are we?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We're training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us!
The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone's expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs.
In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels.
Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00.
As a Member of Technical Staff, you will:
  • Design and write high-performing and scalable software for training models.
  • Develop new tools to support and accelerate research and LLM training.
  • Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem.
  • Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime.
  • Research, implement, and experiment with ideas on our cluster and data infrastructure.
  • Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!

You are an ideal candidate if you have:
  • Extremely strong software engineering skills.
  • Value test-driven development methods, clean code, and strive to reduce technical debts at all levels.
  • Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR.
  • Experience using and debugging large-scale distributed training strategies (memory/speed profiling).
  • [Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray).
  • [Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance.
  • [Bonus] Experience in ML, LLM and RL academic research.

This role is perfect for you if you:
  • Have a deep passion for quality work.
  • Enjoy tuning and optimising large LLM models.
  • Comfortable working with people with different levels of software engineering skills, from beginner to more advanced.
  • Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems.
  • Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.

Full-Time Employees at Cohere enjoy these Perks:
  • A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
  • Full health and dental benefits, including a separate budget for mental health.
  • RRSP matching, 401K, Pension Scheme.
  • 100% Parental Leave top-up for up to 6 months, for either parent.
  • Annual enrichment benefits:
    Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
    Education & learning stipend for conferences, courses, and coaching.
  • 6 weeks of paid vacation (30 working days!)
  • Budget for traveling to other offices if you are remote, plus an annual company offsite.

How and Where We Work:
  • Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon.
  • For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
  • For those not near an office: a co-working benefit so you can work alongside others in your city.
  • Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn't line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers page.

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