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From Home Digital Accelerator Jobs (NOW HIRING)

Neuralink

Digital IC Design Engineer

Austin, TX · On-site

$134K/yr

Low-power general-purpose hardware accelerators * Low-power graphics processing units * Low-power ... Experience working on complex digital systems from architecture, microarchitecture, and RTL, using ...

Neuralink

Digital IC Design Engineer

Austin, TX · On-site

$116K - $233K/yr

Low-power general-purpose hardware accelerators * Low-power graphics processing units * Low-power ... Experience working on complex digital systems from architecture, microarchitecture, and RTL, using ...

At Home Stores

Sr. Ecommerce Front-End Engineer

Coppell, TX · On-site +1

$113K - $156K/yr

Work from Home: Mondays and Fridays JOB SUMMARY The Sr. E-Comm Front-End Engineer is responsible ... performing digital experiences. ESSENTIAL FUNCTIONS * Collaborate with business, product ...

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From Home Digital Accelerator information

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$36.5K

$87.7K

$138.5K

How much do from home digital accelerator jobs pay per year?

As of Aug 22, 2026, the average yearly pay for from home digital accelerator in the United States is $87,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is the difference between From Home Digital Accelerator vs Digital Marketing Specialist?

AspectFrom Home Digital AcceleratorDigital Marketing Specialist
CredentialsTypically requires digital marketing certifications, online courses, or related trainingOften requires a degree in marketing, communications, or related fields, plus certifications
Work EnvironmentPrimarily remote, online-based training and project workCan be remote or in-office, depending on employer
Industry UsageUsed as a training program to develop digital marketing skillsJob role for executing marketing strategies

The From Home Digital Accelerator is a training program designed to equip individuals with digital marketing skills, often leading to roles like Digital Marketing Specialist. While the accelerator focuses on skill development in a remote setting, the Digital Marketing Specialist role involves applying those skills in real-world campaigns, often within a company or agency.

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From Home Digital Accelerator jobs near you
Infographic showing various From Home Digital Accelerator job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution, with an average salary of $87,719 per year, or $42.2 per hour.

Digital AI Accelerator

ALTEN Technology USA

Kinston, NC

Full-time

Posted 10 days ago

Job description

Position Summary

We are seeking a pragmatic, high-energy Digital AI Accelerator to drive AI literacy, adoption, and practical AI use case discovery at the Airbus Kinston manufacturing site. This role will serve as a catalyst for accelerating the effective use of AI technologies across manufacturing and operational teams by identifying opportunities, educating stakeholders, and translating business challenges into scalable AI solutions.

The ideal candidate combines strong AI literacy across enterprise AI platforms, including Google Gemini, Workspace AI capabilities, and low-code/no-code tools, with a solid understanding of manufacturing operations and continuous improvement practices. While deep software engineering expertise is not required, the successful candidate must be able to bridge the gap between operational needs and technical possibilities by defining, prioritizing, and shaping AI-driven solutions that deliver measurable business value.

Responsibilities
  • Drive AI awareness, literacy, and adoption across manufacturing and operational functions.
  • Identify operational inefficiencies, process bottlenecks, and business challenges that may benefit from AI-enabled solutions.
  • Facilitate workshops, demonstrations, and training sessions to increase understanding and practical use of AI tools.
  • Partner with manufacturing, engineering, quality, supply chain, and support teams to discover and assess AI opportunities.
  • Translate operational requirements into clearly defined AI use cases and solution concepts.
  • Evaluate and promote the effective use of enterprise AI platforms, including Google Gemini and Workspace AI capabilities.
  • Leverage low-code/no-code technologies to rapidly prototype and validate AI-driven solutions.
  • Collaborate with technical teams and stakeholders to scope, prioritize, and implement AI initiatives.
  • Monitor AI adoption, user engagement, and business outcomes, providing recommendations for continuous improvement.
  • Act as a trusted advisor and change agent, helping teams integrate AI capabilities into day-to-day operations.
  • Ensure AI initiatives align with business objectives, operational priorities, and governance requirements.
  • Maintain awareness of emerging AI technologies, trends, and best practices relevant to manufacturing environments.
Qualifications
  • Bachelor's degree in Engineering, Manufacturing, Information Technology, Business, Data Analytics, or a related field, or equivalent practical experience.
  • Demonstrated understanding of artificial intelligence concepts, enterprise AI tools, and generative AI applications.
  • Experience using or supporting AI-enabled platforms such as Google Gemini, Workspace AI tools, or similar enterprise AI technologies.
  • Knowledge of low-code/no-code platforms and their application to business process improvement.
  • Strong ability to identify operational challenges and translate them into actionable technology solutions.
  • Experience working within manufacturing, industrial, operations, or production environments.
  • Excellent communication, presentation, facilitation, and stakeholder engagement skills.
  • Ability to influence and drive organizational change through collaboration and education.
  • Strong analytical and problem-solving skills with a focus on delivering practical business outcomes.
  • Comfortable working across technical and non-technical teams and communicating with all levels of the organization.
  • Self-motivated, energetic, and capable of managing multiple initiatives in a dynamic environment.
  • Experience supporting digital transformation, process improvement, continuous improvement, or innovation programs is preferred.
  • Familiarity with data analysis, automation tools, and AI governance considerations is a plus.
 

Salary Range: 90,000 - 115,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience 

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