Systems Engineer Medical Device jobs
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- SME Careers by SuperAnnotateRemote
- Deep knowledge of biomedical engineering fundamentals, such as physiology for engineers, transport phenomena in biological systems, biomechanics, materials…
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- Salary Search: Biomedical Engineer salaries in Remote
View similar jobs with this employerSaabGreater Adelaide SA- Experience in complex systems is desirable.
- Up to 6 weeks leave.
- Gather and analyse system requirements from stakeholders.
View similar jobs with this employerSaabGreater Adelaide SA- Fundamental understanding of systems engineering principles and practices.
- Basic familiarity with military systems or related defence technologies is desirable.
- SomnoMedCrows Nest NSW
- Knowledge of biomaterials, medical device design, or human factors engineering.
- Medical device development and design controls.
View similar jobs with this employerTrinzicCanberra ACT- Experience applying systems engineering processes to complex Defence or aerospace programs.
- As a Systems Engineer, you will play a key role in the application…
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- ResMedSydney NSW
- We recognize that there’s no one type - we need diversity of thought and a range of experience.
- You should hold full working rights in Australia at the time of…
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- SaabMelbourne VIC
- Support configuration management of assigned systems and engineering assets.
- Understanding of systems engineering principles, processes and methodologies.
- Knowledge and skills • Strong understanding of medical device technical documentation, manufacturing processes and quality management systems.
- BSIAustralia
- You’ll assess ISO13485 quality management systems and associated medical device regulatory requirements on customer sites or sometimes remotely, write up…
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- ResMedSydney NSW
- A willingness to learn about medical device regulations, standards, and quality systems.
- A foundational understanding of engineering principles and systems…
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- Johnson ControlsScoresby VIC 3179
- Exposure to engineering software, IT systems, or server environments would be advantageous.
- Basic understanding of control systems, instrumentation, networking,…
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- Johnson ControlsScoresby VIC 3179
- Exposure to engineering software, IT systems, or server environments would be advantageous.
- Basic understanding of control systems, instrumentation, networking,…
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- MedtronicCanberra ACT
- Clinical and technical support of device implants.
- Clinical and technical support of device follow up checks within clinics and hospitals.
- AmentumCanberra ACT 2601
- Requirements Engineering - Analyse capability needs and operational requirements for systems and sub-systems included in the MRGBAD capability solution, develop…
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- Babcock InternationalKeswick SA 5035
- Bring your systems thinking to a major Defence program and help shape the future of critical communications capability.
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- The Mitre CorporationCanberra ACT
- Familiarity with AI/ML-enabled systems or emerging technologies as part of complex mission or systems engineering environments.
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Biomedical Engineer
Job details
Up to $60 an hour
Contract
Remote
Full job description
If you are a biomedical engineer who thrives on technical precision, applied problem-solving, and rigorous engineering reasoning in health and life-science contexts, this is a unique opportunity to contribute directly to how the next generation of AI systems understand and communicate complex biomedical engineering concepts. We are looking for biomedical engineering specialists who can evaluate, challenge, and refine advanced language models on domain-specific topics. Your expertise as a Biomedical Engineer will directly help improve the world’s premier AI models—and play an important role in shaping the future of AI. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs.
requirements
- 4+ years of professional biomedical engineering experience, with significant hands-on work in one or more areas such as medical devices, biomechanics, biomaterials, tissue engineering, bioinstrumentation, imaging systems, signals & systems (physiologic), rehabilitation engineering, clinical engineering, quality/regulatory, manufacturing/validation, or a closely related specialty.
- Deep knowledge of biomedical engineering fundamentals, such as physiology for engineers, transport phenomena in biological systems, biomechanics, materials behavior in biological environments, biosignals, sensor/measurement systems, and systems modeling (depending on specialty).
- Strong comfort with technical assumptions, constraints, unit consistency, and defensible reasoning (including limitations, uncertainty, and safety considerations).
- Bachelor’s degree in Biomedical Engineering (or closely related) required; Master’s/PhD or advanced credentials strongly preferred.
- Experience with AI data training, annotation, red-teaming, or evaluating AI-generated technical content is a strong plus.
- Familiarity with any of the following is a plus (not required): ISO 13485, IEC 60601, ISO 14971, FDA design controls (21 CFR 820), verification & validation, risk management, biocompatibility concepts (ISO 10993), or clinical workflow constraints.
responsibilities
- Evaluate AI-generated responses for technical accuracy, logical soundness, completeness, and clarity across biomedical engineering topics.
- Challenge advanced language models with realistic biomedical engineering scenarios, calculations, and design/analysis reasoning tasks.
- Review and refine AI-generated prompts, model responses, explanations, and step-by-step solutions (including unit handling and correct interpretation of constraints).
- Provide structured feedback that identifies factual errors, unsafe recommendations, unsupported clinical claims, missing assumptions, invalid simplifications, misuse of standards, or incomplete reasoning.
- Assess model performance on topics such as: Biomechanics, Bioinstrumentation & sensors, Biomedical signals, Medical device design, Biomaterials, Imaging & measurement, Verification/validation & risk
- Help shape AI communication standards for biomedical content, including how models explain assumptions, risk/limitations, what must be verified experimentally, and when to escalate to clinical/regulatory experts.
- Ensure AI-generated content reflects responsible biomedical engineering practice—especially around patient safety, clinical claims, and regulatory-sensitive topics.
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