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ai engineer (rl & wbc)

robotics engineer

Foundation Robotics Labs Inc.

<div>About Us 
Foundation is developing the future of general purpose robotics with the goal to address the labor shortage. 
Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries. 
We are on the lookout for extraordinary engineers and scientists to join our team. 
Your previous experience in robotics isn't a prerequisite &mdash; it's your talent and determination that truly count. 
We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work. 
Our Culture 
We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here https://foundation.bot/culture.
About This Role 
 
Why You Should Join 
<ul><li>
You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.</li><li>
You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to &ldquo;fix&rdquo; it.</li><li>
You don't need someone to motivate you; you get things done.</li></ul> 
Why are We Hiring for this Role: 
<ul><li>
We are building a general-purpose humanoid that must understand and navigate the physical world &mdash; and that requires a dedicated engineer to architect the internal models that make that possible</li><li>
World models are the cognitive backbone of our robot; without them, the humanoid cannot plan, predict, or adapt to novel environments</li><li>
We are at an inflection point where our hardware is ready &mdash; now we need the intelligence layer to match it</li><li>
The gap between a robot that executes fixed commands and one that truly reasons about its environment is a world model; we are hiring to close that gap</li><li>
As we scale to real-world deployment, our humanoid needs to generalize across unstructured, unpredictable settings &mdash; something only a robust world model can enable</li><li>
This hire will directly shape the core intelligence architecture of our platform before it becomes locked in at scale</li></ul> 
What Kind of person are we looking for 
<ul><li>
Hands-on experience building world models, model-based RL, or predictive world simulators using frameworks like PyTorch or JAX &mdash; you have shipped these systems, not just studied them</li><li>
Strong foundation in deep learning architectures relevant to world modeling: transformers, diffusion models, neural radiance fields (NeRF), and variational recurrent state-space models</li><li>
Proficient in Python as a primary research and development language, with production-level familiarity in C++ for latency-sensitive inference and real-time robotics integration</li><li>
Experience with robotics middleware and simulation environments &mdash; ROS2, Isaac Sim, MuJoCo &mdash; and the ability to close the sim-to-real gap in learned representations</li><li>
Experience with video prediction or future-frame generation models (e.g., RSSM, DreamerV3, UniSim, Genie) is a strong plus</li><li>
Able to read and implement from recent arXiv papers with minimal overhead &mdash; you are comfortable turning a research prototype into a tested, integrated system</li></ul></div>

AI Engineer (World Models)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Join the next revolution in robotics at Amazon's Frontier AI &amp; Robotics team, where you'll work alongside world-renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter Chen to make breakthrough foundation models run at production scale. As a Senior Machine Learning Engineer embedded in our science team, you'll be instrumental in transforming innovative research into high-performance production systems. You'll collaborate directly with scientists to optimize large-scale transformer architectures for robotics applications, leveraging your expertise in CUDA and TensorRT to achieve unprecedented inference efficiency at Amazon scale. 
 
In this role, you'll balance deep technical optimization work with strategic input on model architecture decisions, ensuring our innovative robotics models are designed with performance in mind from the ground up. You'll leverage NVIDIA's acceleration stack and other compilation techniques to tackle ambitious performance targets, working at the intersection of large language models and real-world robotics applications. 
 
Key job responsibilities 
<ul><li>Drive inference optimization strategies for large-scale foundation models using TensorRT, CUDA, and other NVIDIA tools</li><li>Collaborate closely with scientists to influence model architectures for optimal hardware utilization</li><li>Design and implement efficient compilation pipelines for complex transformer architectures</li><li>Develop comprehensive benchmarking frameworks to measure and optimize model performance</li><li>Build robust monitoring solutions to ensure reliable model serving at scale</li><li>Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers</li><li>Maintain high engineering standards through proper testing, documentation, and code review practices</li></ul> 
A day in the life 
<ul><li>Optimize transformer blocks using custom CUDA kernels and TensorRT optimization techniques</li><li>Partner with scientists to analyze model architectures and propose efficiency improvements</li><li>Implement and benchmark various optimization strategies for large-scale models</li><li>Debug performance bottlenecks using NVIDIA profiling tools</li><li>Participate in technical discussions about new model architectures with the science team</li><li>Design and maintain performance monitoring systems for production deployment</li><li>Prototype new acceleration approaches using emerging compilation frameworks</li></ul> 
About the team 
At Frontier AI &amp; Robotics, we're not just advancing robotics &ndash; we're reimagining it from the ground up. Our team, led by pioneering AI researchers Pieter Abbeel, Rocky Duan, and Peter Chen, is building the future of intelligent robotics through innovative foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. 
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence &ndash; from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. 
 
Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in computer science or equivalent</li><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Strong expertise in Python, C++ and CUDA programming</li><li>Experience with TensorRT or similar ML optimization frameworks</li><li>Track record of optimizing ML models for production</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Expertise in NVIDIA's ML stack (cuDNN, CUDA Graph, etc.)</li><li>Experience with ML compilers (ONNX Runtime, TVM, etc.)</li><li>Experience with transformer model optimization</li><li>Background in performance profiling and optimization</li><li>Experience working directly with research teams</li><li>Track record of building robust monitoring systems</li><li>Experience with large-scale ML serving systems</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 193,300.00 - 261,500.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Sr. Software Development Engineer, Frontier AI & Robotics

<div>About Us 
Foundation is developing the future of general purpose robotics with the goal to address the labor shortage.
Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries.
We are on the lookout for extraordinary engineers and scientists to join our team.
Your previous experience in robotics isn't a prerequisite &mdash; it's your talent and determination that truly count.
We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work. 
Our Culture 
We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here https://foundation.bot/culture. 
Who should join: 
<ul><li>
You like working in person with a team in San Francisco.</li><li>
You deeply believe that this is the most important mission for humanity and needs to happen yesterday.</li><li>
You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.</li><li>
You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to &ldquo;fix&rdquo; it.</li><li>
You don't need someone to motivate you; you get things done.</li></ul> 
Why are We Hiring for this Role: 
<ul><li>
Design, develop, and optimize reinforcement learning algorithms for real-time control and locomotion of humanoid robots.</li><li>
Integrate learned policies into real-world robot platforms with hardware-in-the-loop validation.</li><li>
Collaborate with mechanical, perception, and embedded systems teams to ensure tight integration between hardware and software.</li><li>
Apply advanced techniques such as curriculum learning, domain randomization, and sim2real transfer to improve policy generalization.</li><li>
Analyze and optimize control performance with a focus on robustness, energy efficiency, and adaptability.</li><li>
Contribute to the continuous development of our in-house RL training pipelines and tooling.</li></ul> 
What Kind of Person We Are Looking For: 
<ul><li>
2+ years of experience in machine learning (NNs, LVMs) and reinforcement learning applied to robotics or similar realtime environments.</li><li>
Hands-on experience with physics simulation environments (e.g., MuJoCo, Isaac Lab).</li><li>
Proficiency in Python and C++ for algorithm development and deployment.</li><li>
Experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).</li><li>
Familiarity with ROS/ROS2 and real-time robotic systems.</li><li>
strong software development experience, including CI/CD, unit testing, etc.</li><li>
Strong understanding of classical and modern control theory, locomotion dynamics, etc.</li><li>
Experience deploying RL algorithms on physical robots.</li><li>
Experience with high-performance computing for distributed training.</li><li>
Contributions to open-source RL, ML or robotics projects.</li><li>
M.Sc. or Ph.D. in Robotics, Computer Science, Mechanical Engineering, or a related field.</li></ul> 
Benefits
We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits.</div>

AI Engineer (RL & WBC)

<div>About Us 
Foundation is developing the future of general purpose robotics with the goal to address the labor shortage.
Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries.
We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite &mdash; it's your talent and determination that truly count.
We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work. 
Our Culture
We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here https://foundation.bot/culture. 
Who should join:<ul><li>
You like working in person with a team in San Francisco.</li><li>
You deeply believe that this is the most important mission for humanity and needs to happen yesterday.</li><li>
You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.</li><li>
You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to &ldquo;fix&rdquo; it.</li><li>
You don't need someone to motivate you; you get things done.</li></ul> 
Why Are We Hiring for this Role<ul><li>
Develop and optimize vision-language-action models, including transformers, diffusion models, and multimodal encoders/decoders.</li><li>
Build representations for 2D/3D perception, affordances, scene understanding, and spatial reasoning.</li><li>
Integrate LLM-based reasoning with action planning and control policies.</li><li>
Design datasets for multimodal learning: video-action trajectories, instruction following, teleoperation data, and synthetic data.</li></ul><ul><li>
Interface VLAM outputs with real-time robot control stacks (navigation, manipulation, locomotion).</li><li>
Implement grounding layers that convert natural language instructions into symbolic, geometric, or skill-level action plans.</li><li>
Deploy models on on-board or edge compute platforms, optimizing for latency, safety, and reliability.</li></ul><ul><li>
Build scalable pipelines for ingesting, labeling, and generating multimodal training data.</li><li>
Create simulation-to-real (Sim2Real) training workflows using synthetic environments and teleoperated demonstration data.</li><li>
Optimize training pipelines, model parallelism, and evaluation frameworks.</li></ul><ul><li>
Work closely with robotics, hardware, controls, and safety teams to ensure model outputs are executable, safe, and predictable.</li><li>
Collaborate with product teams to define robot capabilities and user-facing behaviors.</li><li>
Participate in user and field testing to iterate on real-world performance.</li></ul><h1 class="jobSectionHeader">
What Kind of Person are we looking For</h1><ul><li>
Strong experience with training multimodal models, including VLAs, VLMs, vision transformers, LLMs.</li><li>
Ability to build and iterate on large-scale training pipelines.</li><li>
Deep proficiency in PyTorch or JAX, distributed training, and GPU acceleration.</li><li>
Strong software engineering skills in Python and modern ML tooling.</li></ul><ul><li>
Experience with (synthetic) dataset creation and curation.</li><li>
Understanding of real-time deployment constraints on embedded hardware.</li><li>
Optimally, familiarity with robotics simulation environments (Isaac Lab, Mujoco, or similar).</li><li>
Ideally, hands-on experience with robotics, embodied AI, or reinforcement/imitation learning.</li><li>
MSc or PhD in Computer Science, Robotics, Machine Learning, or related field&mdash;or equivalent industry experience.</li></ul> 
Benefits
We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits. 
Salary
The annual compensation is expected to be between $150,000 - $300,000. Exact compensation may vary based on skills, experience, and location.</div>

AI Engineer (VLM & VLA)

<div>About Us 
Foundation is developing the future of general purpose robotics with the goal to address the labor shortage. 
Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries. 
We are on the lookout for extraordinary engineers and scientists to join our team. 
Your previous experience in robotics isn't a prerequisite &mdash; it's your talent and determination that truly count. 
We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work. 
Our Culture 
We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here https://foundation.bot/culture.
About This Role 
 
Why You Should Join 
<ul><li>
You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.</li><li>
You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to &ldquo;fix&rdquo; it.</li><li>
You don't need someone to motivate you; you get things done.</li></ul> 
Why are We Hiring for this Role: 
<ul><li>
A humanoid operating in unstructured, real-world environments must know exactly where it is and what surrounds it at all times &mdash; SLAM is the foundational system that makes that possible</li><li>
Our humanoid needs to build and maintain accurate, real-time maps of dynamic environments while simultaneously localizing itself with centimeter-level precision &mdash; a problem that requires a dedicated, senior-level focus</li><li>
Off-the-shelf SLAM solutions are not sufficient for a full-body humanoid operating across floors, stairs, cluttered rooms, and outdoor terrain &mdash; we need custom, embodied solutions built from the ground up</li><li>
As we move from controlled lab settings to real-world deployment, robust localization and mapping becomes a hard dependency for every upstream system &mdash; perception, planning, and manipulation all rely on it</li><li>
We are scaling our autonomy stack and SLAM is the critical infrastructure layer that must be production-ready before the rest of the system can follow</li><li>
This role directly impacts how our humanoid understands its place in the physical world &mdash; it is foundational, not peripheral</li></ul> 
What Kind of person are we looking for 
<ul><li>
Deep knowledge in vision for robotic systems</li><li>
Hands-on experience implementing SLAM pipelines in C++ and Python &mdash; you have built and tuned these systems end-to-end, not just integrated existing libraries</li><li>
Strong working knowledge of modern SLAM frameworks: ORB-SLAM3, RTAB-Map, Cartographer, LIO-SAM, or KISS-ICP &mdash; and the ability to extend or rewrite core components when needed</li><li>
Experience with neural or learned SLAM approaches (DROID-SLAM, iMAP, NeRF-SLAM)</li><li>
Experience with legged or humanoid-specific odometry challenges</li><li>
Bonus: experience with multi-session and multi-agent mapping</li><li>
Comfortable with probabilistic state estimation, Kalman filtering (EKF/UKF), and particle filters as they apply to real-time localization under uncertainty</li><li>
Familiar with loop closure detection methods, place recognition networks and strategies for long-term map consistency in changing environments</li><li>
Hands-on experience with simulation environments such as Isaac Lab, MuJoCo for development, testing, and sim-to-real validation</li></ul></div>

AI Engineer (SLAM)

Hayden AI

<div>
 
 About Us
 
 
 
 At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
 
 
 From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
 
 
 
 Job Title:
 
 Machine Learning Operations Engineer
 
 
 
 Company:
 
 Hayden AI Technologies, Inc.
 
 
 
 Location:
 
 460 Bryant Street, Suite 100, San Francisco, CA 94107
 
 
 
 Position Duties
 
 
 
 <ul>
 <li>
 Optimize orchestration processes to ensure efficient deployment and management of AI models.
 </li>
 <li>
 Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
 </li>
 <li>
 Upgrade throughput to enhance scalability and responsiveness of AI systems.
 </li>
 <li>
 Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.
 </li>
 <li>
 Ship new features and updates rapidly while maintaining high levels of quality and reliability.
 </li>
 <li>
 Deploy and monitor machine learning models produced by deep learning engineers.
 </li>
 <li>
 Design, deploy, and maintain performant and scalable processes for data acquisition and manipulation to enhance dataset accessibility.
 </li>
 <li>
 Participate actively in the team's software development process, including design reviews, code reviews, and brainstorming sessions.
 </li>
 <li>
 Maintain accurate and updated software development documentation.
 
 
 </li>
 </ul>
 
 Degree Requirements
 
 
 
 Bachelor of Science or Engineering degree or a foreign equivalent in Robotics, Machine Learning, Computer Science, Electrical Engineering, Electronics and Telecommunication Engineering, or a related field.
 
 
 
 Experience Requirement
 
 
 
 One (1) year of work experience in the job offered or as a Deep Learning Engineer, Perception Engineer II, MLOps, Research Engineer II, Machine Learning, Computer Vision Intern, or another related deep learning engineer role.
 
 
 
 Other Special Requirements
 
 
 
 <ul>
 <li>
 One (1) year of work experience with all of the following:
 </li>
 <ul>
 <li>
 Deploying real-world applied computer vision (including deep learning models) on edge devices
 </li>
 <li>
 Python programming and software design
 </li>
 <li>
 C++
 </li>
 <li>
 Software development tools and libraries including PyTorch, OpenCV, TensorFlow, MLflow
 </li>
 <li>
 Automated data annotation
 </li>
 <li>
 Distributed training in the cloud
 </li>
 <li>
 Deploying and managing GPU clusters for ML pipelines and workflows
 
 </li>
 </ul>
 </ul>
 
 Rate of Pay:
 
 $135,699.00 to $190,000.00 per year
 
 
 
 Location of Position and Interview:
 
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
 
 
 
 Applicants Should Submit Resumes To
 
 
 
 Janet Le-Mcintosh
 
 
 janet.le@hayden.ai
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
</div>

Machine Learning Operations Engineer

iCode Cambrian Park

Company DescriptioniCode Cambrian Park is a STEM-accredited after-school program designed for students in grades K-12. The program focuses on teaching coding, robotics, game development, and other technology-based skills to prepare students for the future. iCode Cambrian Park fosters a creative and engaging learning environment where students develop critical thinking and problem-solving skills. Located in San Jose, CA, the program is dedicated to empowering young minds through hands-on, project-based learning experiences.Location: San Jose (Cambrian Park area). This is an on-site position for our facility in Cambrian Park area of San Jose. No remote opportunities. Local candidates desired.Instructor Positions:We are hiring enthusiastic instructors for our iCode Cambrian Park location who enjoy working with kids and technology. We are currently looking for several instructors to support our camps and after-school programs.We are hiring for the following instructor type roles:Camp Instructor (Seasonal / Part-Time)● Lead fun, hands-on STEM camps where kids learn coding, robotics, game design, and technology.Responsibilities:● Teach and guide students through camp activities● Help kids build projects in coding, robotics, and game design● Create a fun, engaging learning environment● Support students ages 5&ndash;14After-School Instructor (After-School/Weekends)Teach our structured after-school program, where students progress through levels while learning coding, technology, and problem-solving skills.Responsibilities:● Lead instructor-led classes in coding and STEM● Support students as they advance through belt levels● Provide guidance and encouragement to students● Work with students ages 5&ndash;14Ideal Candidates:● Enjoy working with kids● Interest or background in technology, coding, robotics, or STEM● Strong communication and classroom management skills● Reliable and energeticSchedule: Part-time (afternoons, evenings for afterschool and camps during school breaks)If you love working with kids and want to help inspire the next generation of innovators, we&rsquo;d love to hear from you!Qualifications<ul><li>Passion for working with kids and inspiring curiosity in STEM</li><li>Experience working with children or adolescents, preferably in an educational setting</li><li>Ability to foster a positive and inclusive learning environment</li><li>Passion for STEM education and mentoring students</li><li>Prior teaching or tutoring experience is a plus</li><li>Proficiency in coding languages such as Python, JavaScript, Scratch, or similar technologies</li><li>Comfortable learning and teaching our curriculum, coding languages, and STEM programs, even if not familiar initially; strong willingness to learn and grow</li><li>Experience with 3D printing and modeling, or a strong interest and willingness to learn</li><li>Strong foundation in robotics, game development, or STEM-related areas</li><li>Effective communication and instructional skills</li><li>Strong organizational and time-management abilities</li><li>Pursuing or possessing a degree in Computer Science, Education, or a related field is preferred</li><li>Exception also for exceptional students in High School with a career focus in Computer Science and active leadership role in a high school STEAM club.</li></ul>Expectations● Follow the items outlined in the &ldquo;key responsibilities&rdquo; section.● Stay on schedule provided by campus director/manager.● No social media usage while at work.● While on the clock, employee&rsquo;s time is 100% committed towards iCode● Perform tasks within the timeline provided by manager.● Perform tasks within reasonable expectations of quality of work.● Offer creative solutions to issues and problems.● Be dedicated to campus duties and not be distracted by other tasks.● Employee must clock in and clock out at all times while reporting to work.● Must be in proper work attire.● Must be a team player. Must have great customer service skills.● Must adhere by HIPAA and confidentiality guidelinesPay: $20.00 - $25.00 per hourBenefits:<ul><li>Flexible schedule</li><li>Referral program</li></ul>Work Location: Remote

Student Instructor

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