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Remote Bright Learning Jobs (NOW HIRING)

AI Security Engineer

Troy, MI · Remote

$80K - $105K/yr

AI Security Engineer - Remote Bright Vision Technologies is a technology consulting and software ... learning systems. The role addresses the unique security challenges posed by LLMs, model APIs ...

AI Data Engineer

Lexington, MA · Remote

$100K - $150K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement ...

We are a diverse organization and are looking for bright, passionate, and committed professionals who strive to be the best at what they do. Responsibilities * Use machine learning techniques to ...

BCBA - Remote in NY

Buffalo, NY · On-site +1

$80K - $100K/yr

Your Future as a BCBA Starts Here-And It's Looking Bright Join the largest female clinician-led ABA ... At Autism Learning Partners, we're all about growing together, learning from each other, and ...

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Remote Bright Learning information

See salary details

$11K

$83.9K

$140K

How much do remote bright learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote bright learning in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Bright Learning vs Remote Instructional Designer?

AspectRemote Bright LearningRemote Instructional Designer
Required CredentialsTeaching certifications, education degreesInstructional design certifications, education degrees
Work EnvironmentOnline education platforms, corporate trainingOnline learning development, corporate and academic settings
Employer & Industry UsageEdTech companies, educational institutionsCorporate training firms, universities, e-learning companies
Common Search & ComparisonYesYes

Remote Bright Learning and Remote Instructional Designer roles both focus on online education but differ mainly in credentials and work focus. Remote Bright Learning often involves teaching or tutoring, requiring teaching certifications, while Remote Instructional Designers develop course content, requiring design certifications. Both roles are prevalent in online education and corporate training sectors.

More about Remote Bright Learning jobs
What cities are hiring for Remote Bright Learning jobs? Cities with the most Remote Bright Learning job openings:
What are the most commonly searched types of Bright Learning jobs? The most popular types of Bright Learning jobs are:
What states have the most Remote Bright Learning jobs? States with the most job openings for Remote Bright Learning jobs include:
Infographic showing various Remote Bright Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Machine Learning Infrastructure Engineer

Bright Vision Technologies

Santa Clara, CA • Remote

$105K - $143K/yr

Full-time

Posted 7 days ago


Job description

Machine Learning Infrastructure Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Machine Learning Infrastructure Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $105,000–$143,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking a Machine Learning Infrastructure Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads. The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in distributed systems, infrastructure, or ML platform engineering.
  • Strong proficiency in Python and a systems language such as Go, Rust, or C++.
  • Deep experience operating high-throughput, low-latency services in production.
  • Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM.
  • Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization.
  • Familiarity with Kubernetes, autoscaling, and modern cloud platforms.
  • Experience with observability stacks including metrics, tracing, and structured logging.
  • Solid grounding in performance engineering and capacity planning.
  • Strong communication and incident response skills.
Preferred Qualifications
  • Open-source contributions to model serving infrastructure.
  • Experience with multi-region or globally distributed AI serving.
  • Familiarity with model quantization, distillation, and compression techniques.
  • Exposure to FinOps for AI workloads and cost-efficient serving design.
  • Experience supporting external-facing AI APIs at scale.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.