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From Home Vlm Jobs (NOW HIRING)

Waabi

Research Scientist, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

LLM / VLM / VLA methods for scene understanding, reasoning, and control. * Generative scenario ... hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office ...

Waabi

Research Engineer, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

LLM / VLM / VLA methods for scene understanding, reasoning, and control * Generative scenario ... hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office ...

Waabi

Research Scientist, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

LLM / VLM / VLA methods for scene understanding, reasoning, and control. * Generative scenario ... hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office ...

Waabi

Research Scientist, World Models

OR · On-site +1

$155K - $269K/yr

LLM / VLM / VLA methods for scene understanding, reasoning, and control. * Generative scenario ... hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office ...

Waabi

Research Engineer, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

LLM / VLM / VLA methods for scene understanding, reasoning, and control * Generative scenario ... hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office ...

Waabi

Research Scientist, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

LLM / VLM / VLA methods for scene understanding, reasoning, and control. Generative scenario ... hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office ...

Waabi

Research Scientist, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

... LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will ... hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office ...

Waabi

Research Engineer, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

LLM / VLM / VLA methods for scene understanding, reasoning, and control * Generative scenario ... hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office ...

Waabi

Research Engineer, World Models

Pittsburgh, PA · On-site +1

$155K - $269K/yr

LLM / VLM / VLA methods for scene understanding, reasoning, and control * Generative scenario ... hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office ...

Waabi

Research Scientist, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

LLM / VLM / VLA methods for scene understanding, reasoning, and control. Generative scenario ... hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office ...

Waabi

Research Engineer, World Models

San Francisco, CA · On-site +1

$155K - $269K/yr

LLM / VLM / VLA methods for scene understanding, reasoning, and control * Generative scenario ... hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office ...

Wayve

Staff Machine Learning Engineer, AV Core

Sunnyvale, CA · Hybrid

$336K - $370K/yr

... VLM), vision-language-action models (VLA), or equivalent. * Hands-on experience training shared ... ng from home. The reasonably estimated salary for this role ranges from $336,400 to $370,300, plus ...

Wayve

Staff Machine Learning Engineer, AV Core

Sunnyvale, CA · On-site

$336K - $370K/yr

... VLM), vision-language-action models (VLA), or equivalent. * Hands-on experience training shared ... ng from home. The reasonably estimated salary for this role ranges from $336,400 to $370,300, plus ...

NRG

Sr Software Engineer, Video Intelligence

WA · Remote

$150K - $180K/yr

Own VLM strategy, video-language understanding, temporal video reasoning, event understanding, and ... work from home day on Friday. The position will start remote and then will move into the hybrid ...

Figure

Helix AI Engineer, Perception

San Jose, CA · Hybrid

$200K - $400K/yr

Our humanoid robot, Figure 03, is designed for commercial tasks and the home. We are based in San ... Own the end-to-end product life cycle from initial ideation to deployment. * Deliver high-quality ...

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How much do from home vlm jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for from home vlm in the United States is $21.09, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $21.63 per hour, depending on experience, location, and employer.

What is the difference between From Home Vlm vs From Home Customer Service Representative?

AspectFrom Home VlmFrom Home Customer Service Representative
Required CredentialsHigh school diploma or equivalent, basic computer skillsHigh school diploma or equivalent, communication skills
Work EnvironmentRemote, home-basedRemote, home-based
Industry UsageLogistics, delivery, supply chainRetail, telecommunications, tech support
Common Search IntentRemote logistics jobsRemote customer support jobs

From Home Vlm roles typically involve logistics and delivery coordination, requiring basic organizational skills. In contrast, From Home Customer Service Representative positions focus on assisting customers via phone or chat, emphasizing communication skills. Both are remote jobs but serve different industries and job functions.

What are common challenges faced by professionals working in a work-from-home virtual leadership or management role, and how can they be addressed?

One common challenge for virtual leaders and managers working from home is maintaining effective communication and team engagement across remote teams. It can be difficult to foster strong relationships and monitor team progress without in-person interactions. To address these challenges, successful VLM professionals utilize regular video meetings, clear communication tools, and collaborative platforms to ensure transparency and team cohesion. Additionally, setting clear expectations and providing timely feedback helps remote teams feel connected and supported.

What is a from home VLM?

'From Home VLM' jobs refer to virtual learning management positions that can be performed remotely from home. These roles typically involve overseeing, coordinating, or supporting online educational programs and platforms, ensuring that virtual classrooms run smoothly. Responsibilities may include managing course content, assisting instructors and students, troubleshooting technical issues, and analyzing learner engagement data. Working from home in a VLM role allows for flexible hours and the ability to collaborate with educators and learners globally through digital tools.

What skills and qualifications are needed to thrive as a virtual learning manager working from home?

To excel as a Virtual Learning Manager, you need expertise in instructional design, e-learning strategies, and a background in education or training, often supported by a relevant degree or certification. Familiarity with Learning Management Systems (LMS), webinar platforms, and content authoring tools is typically required. Strong organizational skills, digital communication abilities, and adaptability help you manage remote teams and engage diverse learners. These competencies ensure effective delivery and management of online learning programs, fostering engagement and successful outcomes in a remote setting.
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From Home Vlm jobs near you
Infographic showing various From Home Vlm job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $43,861 per year, or $21.1 per hour.

Research Scientist, World Models

Waabi

Pittsburgh, PA • On-site, Remote

$155K - $269K/yr

Full-time

Re-posted 17 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Waabi’s autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.
This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.
 

You will…

- Conduct fundamental and applied research in generative and predictive world-modeling

• Video generation and prediction.

• Latent diffusion / autoregressive / flow-matching models.

• Multimodal foundation models for driving scenes.

• LLM / VLM / VLA methods for scene understanding, reasoning, and control.

• Generative scenario modeling and controllable simulation.

• Model distillation.

- Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines.

- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).

- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.

- Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics.


Qualifications:

- Demonstrated technical innovation:  You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..

- Strong prototyping and implementation:  You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.

- Expert domain knowledge: You have built  generative or predictive models of the physical world with scale and efficiency in mind for real-world applications

- Team player:  You have worked in a close-knit team of researchers and engineers and have strong communication  to deliver successful projects. 

 

Bonus:

- Proven ability to translate research into production-quality code and measurable product impact.

- Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy.

The US yearly salary range for this role is: $155,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

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.