[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-stem-engineering-jobs-united-states":3},{"Ques":4,"Slug":28,"Header":29,"job_category":57},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22,25],{"A":8,"Q":9},"It refers to remote, full-time engineering roles aligned to US-based hiring, spanning software engineering, cloud engineering, data engineering, and related technology domains.","What does “STEM engineering jobs in the United States” mean on Rex.zone?",{"A":11,"Q":12},"Yes. The Remote Type is Remote, and the roles are intended to be performed remotely within the US.","Are these roles strictly remote?",{"A":14,"Q":15},"Backend engineering, cloud infrastructure, DevOps\u002FSRE, data engineering, platform engineering, and in some cases MLOps supporting NLP, computer vision, and LLM training pipelines.","What engineering domains are commonly included?",{"A":17,"Q":18},"Not always. Many STEM engineering jobs are core platform or product roles; however, experience with MLOps, evaluation tooling, or data pipelines can be a strong advantage for AI-enabled products.","Do I need AI\u002FML experience to qualify?",{"A":20,"Q":21},"Use specific skills such as systems design, cloud infrastructure, CI\u002FCD, Kubernetes, Python, data engineering, observability, reliability engineering, and security-by-design, plus any relevant AI\u002FML tooling experience.","What keywords help my application get discovered?",{"A":23,"Q":24},"Yes. Employment Type is FULL_TIME and Experience Level is Mid-Senior.","Is this a full-time position and what level is it?",{"A":26,"Q":27},"The listed range is USD 63360 to USD 126720 per year.","What salary range is listed for this posting?","stem engineering jobs united states",{"desc":30,"title":31,"content":32},"STEM engineering jobs in the United States focus on building, testing, and scaling real-world technology systems across software, cloud, data platforms, and AI\u002FML products. At Rex.zone, these remote full-time engineering roles support production workflows such as system design, CI\u002FCD automation, reliability engineering, security-by-design, data engineering, and applied AI\u002FML delivery. You will collaborate with product, engineering, and QA teams to ship measurable improvements, improve system performance, and maintain operational excellence. Explore Rexzone opportunities that match common search modifiers like remote, full-time, mid-senior, and domain areas including NLP, computer vision, and LLM training pipelines.","STEM Engineering Jobs in the United States (Remote, Full-Time)",[33,36,39,42,45,48,51,54],{"h2":34,"desc":35},"STEM Engineering Jobs in the United States — Remote Full-Time","Title: Remote STEM Engineer (United States)\nDate: 25-02-2026\nCompany: Rexzone\nCountry: US\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: Systems design, Software engineering, Cloud infrastructure, CI\u002FCD, Kubernetes, Python, Data engineering, MLOps\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR",{"h2":37,"desc":38},"About the Role","You will contribute to end-to-end engineering delivery for US-based remote programs, covering requirements, design reviews, implementation, testing strategy, deployment, and operational monitoring. The work spans modern engineering domains (software engineering, cloud engineering, data engineering, and MLOps) and intersects with AI\u002FML product delivery where relevant—such as building data pipelines, evaluation tooling, and service infrastructure for LLM-powered features. You will partner with cross-functional stakeholders to define acceptance criteria, meet quality standards, and ensure maintainable, secure systems.",{"h2":40,"desc":41},"What You Will Do","Design and implement scalable services and APIs with clear interfaces and versioning.\nBuild and maintain cloud infrastructure using IaC practices and secure defaults.\nCreate CI\u002FCD pipelines, automated tests, and release processes for reliable delivery.\nImprove observability with logs, metrics, tracing, and alerting tied to SLOs.\nCollaborate with data, AI\u002FML, and QA teams on integration testing and performance validation.\nSupport platform workflows that may include model evaluation tooling, prompt evaluation harnesses, and data quality checks for LLM training pipelines.\nParticipate in code reviews, incident response, postmortems, and continuous improvement.",{"h2":43,"desc":44},"Required Qualifications","Bachelor’s degree or equivalent practical experience in a STEM field.\nMid-senior experience delivering production software or platform systems.\nProficiency in at least one backend language (Python, Java, Go, or similar).\nExperience with cloud services (AWS, Azure, or GCP) and containerization.\nStrong understanding of testing, debugging, performance profiling, and secure coding.\nAbility to communicate clearly in distributed, remote engineering teams.",{"h2":46,"desc":47},"Preferred Qualifications","Experience with Kubernetes, service mesh, or distributed systems.\nHands-on work with data engineering stacks (ETL\u002FELT, orchestration, warehousing).\nMLOps exposure (model deployment, monitoring, feature stores) and AI\u002FML evaluation workflows.\nFamiliarity with NLP, computer vision, content safety, or LLM-based product features.\nExperience building internal tooling for QA evaluation, annotation guidelines compliance, or training data quality checks.",{"h2":49,"desc":50},"How Success Is Measured","On-time delivery of well-tested features aligned to requirements.\nImproved reliability, latency, and cost efficiency of production systems.\nReduced incident frequency and faster recovery through better automation.\nHigh-quality engineering documentation, runbooks, and maintainable code.\nMeasurable model performance improvement enablement when supporting AI\u002FML systems through robust pipelines and evaluation tooling.",{"h2":52,"desc":53},"Work Environment","Remote within the United States with a full-time schedule. You will collaborate asynchronously with structured handoffs, documented decisions, and regular engineering ceremonies. The role remains Remote and aligned to Technology industry and Engineering job function.",{"h2":55,"desc":56},"Apply on Rex.zone","Create or update your Rex.zone profile, select your strongest STEM engineering focus area, and apply to matching remote full-time roles in the United States. Keep a portfolio of shipped systems, code samples (where possible), and measurable impact to speed up screening.","Engineering"]