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Home Based Agi Jobs (NOW HIRING)

MatX

Hardware System Electrical Engineer

Mountain View, CA · On-site

$175K - $450K/yr

What MatX Is Building MatX is on a mission to be the compute platform for AGI. We are developing ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

MatX

Hardware System Diagnostic Engineer

Mountain View, CA · On-site

$175K - $450K/yr

What MatX Is Building MatX is on a mission to be the compute platform for AGI. We are developing ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

MatX

Hardware System Electrical Engineer

Mountain View, CA · On-site +1

$175K - $450K/yr

What MatX Is Building MatX is on a mission to be the compute platform for AGI. We are developing ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

MatX

Hardware System Diagnostic Engineer

Mountain View, CA · On-site +1

$175K - $450K/yr

What MatX Is Building MatX is on a mission to be the compute platform for AGI. We are developing ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

MatX

SOC Intergration Engineer

Mountain View, CA · Remote

$175K - $450K/yr

What MatX Is Building MatX is on a mission to be the compute platform for AGI. We are developing ... Compensation The US base salary for this full-time position is determined based on a variety of ...

MatX

SOC Intergration Engineer

Mountain View, CA · On-site

$175K - $450K/yr

What MatX Is Building MatX is on a mission to be the compute platform for AGI. We are developing ... Compensation The US base salary for this full-time position is determined based on a variety of ...

Walker Partners

Electrical Designer

Austin, TX · On-site

... AGI 32, Visual, or Elum Tools. » Strong communication and project coordination skills About Us ... a Texas-based and Texan-owned engineering and survey firm committed to strengthening the ...

Elicit

Senior Product Designer

Oakland, CA · On-site +1

$100K - $250K/yr

Elicit is a scalable ML system based on human-understandable task decompositions, with supervision ... This expands our collective understanding of safe AGI architectures. Visit our Twitter to learn ...

Tenex.AI Inc

AI Architect

... H on Friday. Job Responsibilities * Set Technical Strategy & Vision: Oversee the design and ... Develop and Productionize: large-scale LLMs, graph-based reasoning engines, and streaming feature ...

Stantec

Electrical Designer

Lynnwood, WA · On-site

$80K - $112K/yr

Prefer experience with Revit, AutoCAD, AGI 32, Visual Lighting Software, SKM, Newforma. Education ... Must have a valid driver's license and clean MVR Stantec offers a hybrid home/office work ...

Stantec

Electrical Designer

Lynnwood, WA · On-site

$80K - $112K/yr

Prefer experience with Revit, AutoCAD, AGI 32, Visual Lighting Software, SKM, Newforma. Education ... Must have a valid driver's license and clean MVR Stantec offers a hybrid home/office work ...

OpenAI

Model Policy, Frontier Cyber Risk

San Francisco, CA · On-site

$207K - $295K/yr

We co-design policy with models and for models by driving rapid policy taxonomy iteration based on ... work from home on Thursdays and Fridays. Our open-plan offices have height-adjustable desks ...

OpenAI

Recruiter, AI/ML Research

San Francisco, CA · On-site

$216K - $240K/yr

About the Team OpenAI's mission is to build safe artificial general intelligence (AGI) that ... We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and ...

Tenex.AI Inc

Principal AI Engineer

San Jose, CA · On-site +1

$190K - $250K/yr

This role will require Monday - Thursday onsite in any of our locations. WFH Friday. Job ... Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature ...

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All JobsHome Based Agi Jobs

Home Based Agi information

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How much do home based agi jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for home based agi 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 are some common challenges faced when working as a home-based AGI agent and how can they be overcome?

As a home-based AGI (Artificial General Intelligence) agent, some common challenges include managing self-discipline and time effectively, ensuring clear communication with remote teams, and keeping up with rapidly evolving technology. To overcome these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with colleagues, and dedicate regular time to professional development. Proactively seeking feedback and participating in virtual team meetings also helps maintain alignment with project goals.

What is the difference between Home Based Agi vs Home Based Bookkeeper?

AspectHome Based AgiHome Based Bookkeeper
CredentialsBasic accounting knowledge, possibly certifications like QuickBooksBookkeeping certification or experience often preferred
Work EnvironmentRemote, home-basedRemote, home-based
Industry UsageUsed in finance, accounting, small business supportCommon in small business, accounting firms
Job FocusCalculating AGI, tax-related tasksRecording transactions, managing financial records

Home Based Agi primarily focuses on calculating Adjusted Gross Income for tax purposes, while Home Based Bookkeeper handles day-to-day financial record-keeping. Both roles are remote and require basic accounting skills, but their core responsibilities differ significantly.

How can I make 2000 a week working from home?

Home Based AGI roles often involve remote work in fields like customer service, virtual assistance, or sales, where earning $2000 weekly requires consistent high-volume work, specialized skills, or commission-based pay structures. Increasing income may involve taking on multiple clients, developing in-demand skills, or working longer hours, depending on the job type and compensation model.

What jobs will be safe from AGI?

Home Based AGI roles typically involve tasks that require complex human judgment, creativity, emotional intelligence, or physical presence, making them less susceptible to automation by artificial general intelligence. Jobs that rely on interpersonal skills, nuanced decision-making, or manual dexterity—such as counseling, caregiving, skilled trades, and certain creative professions—are generally more resistant to automation by AGI. Continuous learning and adaptability are key to maintaining safety from automation in any job.

What are Home Based AGIs?

Home Based AGIs (Artificial General Intelligences) refer to advanced AI systems designed to perform a wide variety of tasks within a home setting, mimicking human-like intelligence and adaptability. These systems can manage household chores, provide companionship, assist with scheduling, and integrate with smart home devices. The goal of a Home Based AGI is to enhance convenience, safety, and quality of life for users by learning and adapting to their preferences and routines. As AGI technology evolves, these systems are expected to become increasingly capable and autonomous, offering personalized assistance in everyday activities.

What are the key skills and qualifications needed to thrive as a Home-Based Agile Coach, and why are they important?

To thrive as a Home-Based Agile Coach, you need a deep understanding of Agile methodologies, experience in software development or project management, and often certifications like Certified ScrumMaster (CSM) or PMI-ACP. Familiarity with collaboration tools such as Jira, Trello, Slack, and video conferencing platforms is typically required. Outstanding communication, facilitation, and coaching skills are essential for guiding distributed teams and fostering a culture of continuous improvement. These skills ensure Agile practices are effectively implemented, enabling teams to adapt quickly and deliver high-quality results in remote work environments.
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Home Based Agi jobs near you

Member of Engineering (Pre-training / Synthetic Data)

poolside

Remote

$117K - $140K/yr

Full-time

Medical, PTO

Posted 11 days ago

Job description

ABOUT POOLSIDE
In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.
Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises.
ABOUT OUR TEAM
We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration in Paris each month for 3 days, with an open invitation to stay the whole week. For those based in PST, we understand this is a significant travel cadence; we are open to agree on a lower cadence and will discuss this in the interview process. We also do longer off-sites once a year.
Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We're in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we've assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development.
ABOUT THE ROLE
You'll be working on our data team focused on the quality of the datasets being delivered for training our models. This is a hands-on role where your #1 mission would be to improve the quality of the pretraining datasets by leveraging your previous experience, intuition and training experiments. This role particularly focuses on generating synthetic data at scale and determining the best strategies to leverage such data into training large models. You'll closely collaborate with other teams like Pretraining, Postraining, Evals, and Product to define high-quality data needs that map to missing model capabilities and downstream use cases.
Staying in sync with the latest research in synthetic data generation and pretraining is key to success in this role. You will constantly lead original research initiatives through short, time-bounded experiments while deploying highly technical engineering solutions into production. With the volumes of data to process being massive, you'll have a performant distributed data pipeline together with a large GPU cluster at your disposal.
Curious about the tech? Take a deep dive into our pretraining data stack in this blogpost from our 'Model Factory' series.
YOUR MISSION
To deliver large, high-quality, and diverse synthetic datasets mixing natural language and code modalities to train best-in-class Poolside coding agents.
RESPONSIBILITIES
  • Follow the latest research related to LLMs and synthetic data generation in particular. Be familiar with the most relevant open-source datasets and models.
  • Design and implement complex pipelines that can generate large amounts of data while maintaining high diversity and optimizing the resources available.
  • Closely work with other teams such as Pretraining, Posttraining, Evals and Product to ensure alignment on the quality of the models delivered.
  • Continuously measure and refine the quality of the datasets being generated while validating the final data strategy through quantitative data ablation experiments.
SKILLS & EXPERIENCE
  • Strong machine learning and engineering background
  • Experience with Large Language Models (LLM), including:
    • Understanding of how LLMs learn
    • Data ablations and scaling laws
    • Post-training techniques
    • Training reasoning and agentic models
  • Experience with implementing cost-efficient, complex pipelines to generate synthetical datasets at scale optimizing for data quality, correctness, diversity, etc.
  • Experience with evals tracking model capabilities (general knowledge, reasoning, math, coding, long-context, etc)
  • Experience in building trillion-scale pretraining datasets, and familiarity with concepts like data curation, deduplication, data mixing, tokenization, curriculum, impact of data repetition, etc.
  • Excellent programming skills in Python
  • Strong prompt engineering skills
  • Experience working with large-scale GPU clusters and distributed data pipelines
  • Strong obsession with data quality
  • Research experience:
    • Author of scientific papers on any of the topics: applied deep learning, LLMs, source code generation, etc. - is a nice to have
    • Can freely discuss the latest papers and descend to fine details
    • Is reasonably opinionated
PROCESS
  • Intro call with one of our Founding Engineers
  • Technical Interview(s) with one of our Members of Engineering
  • Team fit call with the People team
  • Final interview with one of our Founding Engineers

BENEFITS
  • Fully remote work & flexible hours
  • 37 days/year of vacation & holidays
  • Health insurance allowance for you & dependents
  • Company-provided equipment
  • Well-being, always-be-learning & home office allowances
  • Frequent team get togethers
  • Diverse & inclusive people-first culture

Apply