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On Call Accelerate Learning Jobs (NOW HIRING)

Blackhawk Network

Platform Engineer I

Coppell, TX · On-site

Participate in the 24×7 on-call rotation supporting BHN's production platforms. * Monitor ... Develop engineering knowledge systems that improve troubleshooting and accelerate learning. You'll ...

Blackhawk Network

Platform Engineer I

Pleasanton, CA · On-site

Participate in the 24x7 on-call rotation supporting BHN's production platforms. * Monitor ... Develop engineering knowledge systems that improve troubleshooting and accelerate learning. You'll ...

Blackhawk Network

Platform Engineer I

Coppell, TX · On-site

Participate in the 24x7 on-call rotation supporting BHN's production platforms. * Monitor ... Develop engineering knowledge systems that improve troubleshooting and accelerate learning. You'll ...

UASA

Service Technician

Rockville, MD · On-site

$75K - $95K/yr

... on-call Accelerated Technician Track • Paid training from day one • Field ride-alongs with ... learning new tech If you want a serious career, a company that actually cares, and standards that ...

UASA

Service Technician

Eldersburg, MD · On-site

$75K - $95K/yr

... on-call Accelerated Technician Track • Paid training from day one • Field ride-alongs with ... learning new tech If you want a serious career, a company that actually cares, and standards that ...

UASA

Service Technician

Baltimore, MD · On-site

$75K - $95K/yr

... on-call Accelerated Technician Track • Paid training from day one • Field ride-alongs with ... learning new tech If you want a serious career, a company that actually cares, and standards that ...

Roku

Senior Machine Learning Engineer, DevOps/SRE

Austin, TX · On-site

$128K - $165K/yr

... accelerate ML experimentation and deployment at internet scale. You will partner closely with ML ... Participate in on-call rotation, leading incident response and root-cause analysis for critical ML ...

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How much do on call accelerate learning jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for on call accelerate learning in the United States is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $26.44 per hour, depending on experience, location, and employer.

Is Accelerate Learning a good company to work for?

Accelerate Learning offers roles such as On Call positions that typically involve flexible scheduling and remote work options. The company's reputation varies based on employee reviews, with some citing positive experiences in professional development and others noting concerns about workload or management. Prospective employees should research current reviews and consider their own priorities when evaluating employment at the company.

What jobs pay 4000 a week without a degree?

Jobs that can pay $4,000 a week without a degree often include roles such as sales managers, real estate brokers, or skilled trades like electricians and plumbers, especially with experience and commissions. High-paying freelance or contract work in fields like digital marketing, software development, or consulting can also reach this income level, often requiring specialized skills and a strong client base.

What is the difference between On Call Accelerate Learning vs On Call Tutor?

AspectOn Call Accelerate LearningOn Call Tutor
CredentialsTypically requires teaching certifications or relevant subject expertiseUsually requires tutoring certifications or subject knowledge
Work EnvironmentOnline or in-person tutoring sessions, flexible hoursOne-on-one or small group sessions, flexible scheduling
Industry UsageEducational services, tutoring platformsEducational services, private tutoring
Common Search IntentComparing tutoring roles, flexible teaching jobsFinding local or online tutoring opportunities

On Call Accelerate Learning and On Call Tutor both involve providing educational support, but Accelerate Learning often emphasizes structured programs and certifications, while Tutors focus on personalized, one-on-one instruction. Both roles are flexible and industry-related, catering to different student needs.

How to make $10,000 a month with no degree?

On Call Accelerate Learning roles often focus on training and supporting learners, but earning $10,000 a month without a degree typically involves high-demand skills such as sales, digital marketing, software development, or entrepreneurship. Building expertise through online courses, certifications, and gaining experience in these areas can increase earning potential, especially if combined with strong work ethic and networking.

What is an Accelerate Learning company?

An Accelerate Learning company is an organization that provides educational services or products aimed at enhancing learning outcomes. In the context of a job like On Call Accelerate Learning, it typically involves supporting or delivering training, tutoring, or educational programs, often requiring strong communication skills and familiarity with learning technologies.
More about On Call Accelerate Learning jobs
What are the most commonly searched types of Accelerate Learning jobs? The most popular types of Accelerate Learning jobs are:
What job categories do people searching On Call Accelerate Learning jobs look for? The top searched job categories for On Call Accelerate Learning jobs are:
On Call Accelerate Learning jobs near you
Infographic showing various On Call Accelerate Learning job openings in the United States as of June 2026, with employment types broken down into 6% As Needed, and 94% Full Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $51,453 per year, or $24.7 per hour.
Security Engineering Intern - Summer 2026

Security Engineering Intern - Summer 2026

Lambda

San Francisco, CA • On-site

Temporary, Internship

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
About the Role
Lambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence.
As a Software Engineering Intern on the Security team, you'll spend the summer shipping production security detections against Lambda's real log data: code that fires on real events and routes to a real on-call team. This is not a sandbox project. The detections you build will be the first line of warning when something looks wrong in our environment.
You'll work alongside a senior engineer mentor on code review, security concept training, and unblocking your work. Between those sessions, your primary partner is a frontier LLM: you'll use it to learn log schemas, reason through threat models, and accelerate your way through code you've never written before. We expect interns to drive their own learning and use AI tools fluently; the bar for what a great junior engineer can ship has changed, and this role is designed around that change.
The work spans LLM-based classifiers for sensitive data exposure, identity and access pattern detection, and the security infrastructure that everything else depends on. You and your mentor will pick the specific projects together, prioritizing where the data is richest and the business value is clearest.
If you love writing code, are excited about working with AI tools to solve problems you couldn't solve alone, and find the idea of protecting AI infrastructure genuinely interesting - even if you've never taken a security class - we'd love to hear from you.
We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.
What You'll Do
  • Ship real production detections you develop against Lambda's real log data over the course of the summer, chosen with your mentor from a menu of high-value security gaps.
  • Use frontier LLMs as your primary partner for learning unfamiliar codebases, reading log schemas, reasoning through threat models, and accelerating your output as a working software engineer.
  • Build LLM-powered classifiers and rule-based detections that turn raw log data into actionable alerts for the Security team.
  • Work closely with your mentor in code reviews and threat hunting, and self-direct between them, using AI tools to investigate and sharpen your questions before bringing them to a human.
  • Document what you build clearly enough that the on-call engineer who responds to your alert at 2am understands what it means and what to do.
  • Present your work at the end of the summer to the security team and company leadership, walking through what you shipped, what you learned, and what you'd build next.

What We're Looking For
  • Currently enrolled in a Bachelor's or Master's program in Computer Science or a related field, returning to school after the summer.
  • Independent technical projects you've shipped: side projects, open source contributions, hackathons, research code, anything where you scoped a problem and built a working solution. Resumes that only list classwork are unlikely to stand out.
  • Fluency writing code in at least one general-purpose language (Go or Python preferred, but we care more about your ability to learn and leverage an LLM than your starting stack).
  • Comfort using frontier LLMs as a coding partner. You can tell when the model is wrong, push back on bad suggestions, and use it to accelerate learning rather than replace it.
  • Ability to take a fuzzy problem ("we need to know when someone overshares a sensitive document") and turn it into a scoped, shippable piece of work without needing a ticket pre-written for you.
  • Curiosity about how systems get attacked and defended, even if you've never formally studied security. We can teach you security; we cannot teach curiosity.
  • Strong written communication. Much of the work is reasoning in writing, asking sharp questions, and leaving behind code and documentation that the next person can use.

Nice to Have
  • Prior software engineering internship.
  • Familiarity with cloud infrastructure (AWS, GCP, or similar), command-line environments, or systems-level programming.
  • You've built something with AI assistance that pushed beyond what you could have done alone.
  • Experience working with log data, structured event data, or building anything that processes streams of records.
  • Prior exposure to security concepts (a CTF you played, a security class you took, a side project you built, a security mistake you made and learned from, etc.).
  • Coursework or projects involving machine learning, data classification, or applied AI.

Salary Range Information
This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
  • Founded in 2012, with 500+ employees, and growing fast
  • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Our values are publicly available: https://lambda.ai/careers
  • We offer generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use

A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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