Remote (US)

Remote Engineer Jobs (US)

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Today

Data Engineer with Python and React

Glint Tech Solutions LLC Jersey City, NJ 🇺🇸 Remote

Jersey City, NJ

Today

Full time Backend Developer Python Analytics

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Job Description

Glint Tech Solutions LLC is hiring a Data Engineer to develop and support scalable, data-driven applications and platforms for the healthcare domain. This role combines Python for backend data engineering with React for frontend web experiences, along with responsibility for ETL/ELT pipelines, integrations, and production reliability in HIPAA-aligned environments.

Key Responsibilities

Build and maintain data-driven web applications using Python (backend/data engineering) and React (frontend).
Design and develop scalable data pipelines, APIs, and frontend dashboards aligned to healthcare workflows.
Create ETL/ELT pipelines to process clinical, operational, and healthcare datasets.
Work with healthcare data systems, including EHR integrations and healthcare interoperability platforms.
Develop internal tools, analytics platforms, and operational dashboards for clinicians, administrators, and healthcare operations teams.
Integrate with healthcare data standards and systems, including HL7 and FHIR, and Epic and Cerner environments where applicable.
Design and optimize data models, warehouses, and data processing workflows.
Translate healthcare operational and reporting requirements into scalable data solutions.
Ensure applications and data platforms meet security, privacy, and compliance requirements in HIPAA-aligned environments.
Monitor, debug, optimize, and maintain production data systems and applications.
Collaborate with cross-functional stakeholders, including data analysts, clinicians, operations teams, and software engineers.

Required Qualifications

Strong hands-on experience with Python for data engineering and backend development.
Experience with data processing frameworks and libraries such as Pandas, PySpark, Airflow, and SQLAlchemy.
Basic to strong experience with React.js frontend development.
Experience building scalable ETL/ELT pipelines and production-grade data applications.
Strong understanding of REST APIs and system integrations.
Experience working with relational and/or NoSQL databases.
Experience with data warehousing, data modeling, and large-scale data processing.
Familiarity with cloud platforms and data services: AWS, Azure, or GCP preferred.
Ability to work in ambiguous, real-world problem spaces.
Strong communication skills with technical and non-technical stakeholders.
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

Technologies

Python, React, React.js
Pandas, PySpark, Airflow, SQLAlchemy
REST APIs, ETL, ELT
AWS, Azure, GCP
HL7, FHIR, Epic, Cerner

Preferred Experience

Prior experience in healthcare technology or healthcare systems.
Familiarity with HL7, FHIR, or EHR systems such as Epic or Cerner.
Experience with healthcare workflows across clinical, operational, or administrative systems.
Exposure to regulated environments including HIPAA and security-sensitive systems.
Experience with big data technologies and distributed processing systems.
Experience building analytics dashboards or data visualization platforms.
Experience with enterprise-scale data platforms and pipelines.

Location

Jersey City, NJ (remote).

Education

Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

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Today

Product Security Engineer - AI Trainer

DataAnnotation Nebraska 🇺🇸 Remote

Nebraska

Today

$50 - $100/hr Contract Ai Security Ai Security Evaluation Artificial Intelligence Security Evaluation

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Job Description

The Product Security Engineer - AI Trainer role supports the training of AI models by reviewing AI-generated security content and developing security-focused technical problems that improve model quality. This is a remote contract position with a flexible schedule arranged through a platform assessment.

Key Responsibilities

Assess AI-generated cybersecurity content for real-world accuracy and validity, including threat analysis, vulnerability assessments, and offensive security techniques.
Create and solve security-focused technical problems that are used to train AI systems.
Produce clear technical explanations and security-relevant code.
Provide feedback that directly informs improvements to subsequent generations of AI security models.

Required Qualifications

2+ years of hands-on experience in a cybersecurity role, such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or related work, including government or military cyber operations.
Some coding experience; comfort navigating and patching a codebase is important.
English fluency (native or bilingual level) with strong writing skills.
A bachelor’s degree is preferred.
Cybersecurity certifications are a plus, for example OSCP, CRTO, GREM, GCFA, CEH, or similar.

Contract Details

Location: Nebraska (remote)
Job type: Contract
Compensation: USD 50 to 100 per hour

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects to take on and when to work, using your own computer from home.
Competitive pay: hourly project payments at $50 to $100 USD per hour.
Potential for higher rates: higher bonus rates may be available for certain projects.
Impact: contribute to shaping AI technologies built for cybersecurity.

Additional Notes

Payment is processed via PayPal.
No money will be requested from candidates.
This contract role is available only to individuals in the US, Canada, UK, Ireland, Australia, and New Zealand.

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Today

Product Security Engineer - AI Trainer

DataAnnotation Fort Lauderdale, FL 🇺🇸 Remote

Fort Lauderdale, FL

Today

$50 - $100/hr Contract Ai Security Ai Security Training Data Security

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Job Description

Support the training of AI models for cybersecurity by reviewing generated content and tackling security-focused technical tasks.

Responsibilities

Assess AI-generated cybersecurity material for real-world accuracy and validity
Review threat analysis, vulnerability assessments, and offensive security techniques
Create and solve security-focused technical problems used to train AI systems
Produce clear technical explanations tailored to cybersecurity context
Write security-relevant code as part of training problem solutions
Provide feedback that directly influences the next generation of AI security models

Requirements

2+ years of hands-on cybersecurity experience, such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent work
Experience may include government or military cyber operations
Some coding experience required, including comfort navigating and patching a codebase
English fluency (native or bilingual) and strong writing skills
Bachelor’s degree preferred
Cybersecurity certifications are a plus (examples: OSCP, CRTO, GREM, GCFA, CEH, and similar)

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand
Flexible schedule: choose which projects you take on and when you work, using your own computer
Competitive pay: hourly projects at $50 to $100 USD per hour
Potential for higher bonus rates on certain projects
Impact: contribute to shaping AI technologies built for cybersecurity

Contract Details

Job type: contract
Location: Fort Lauderdale, FL (remote)
Schedule: flexible, project-based
Assessment: paid hourly work available after passing a short assessment

Notes

Payment is made via PayPal
They will never ask for any money from you
Only available to applicants in the US, Canada, UK, Ireland, Australia, and New Zealand

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Today

Product Security Engineer - AI Trainer

DataAnnotation Connecticut 🇺🇸 Remote

Connecticut

Today

$50 - $100/hr Contract Ai Security Ai Security Content Evaluation Data Security

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Job Description

DataAnnotation is building ways to train AI models using high-quality cybersecurity evaluations. As a Product Security Engineer - AI Trainer, you will review AI-generated cybersecurity content, work on security-focused technical problems, and contribute feedback that helps improve the next generation of AI security models. The role is fully remote with a flexible schedule and hourly pay of $50 to $100 USD per hour paid via PayPal.

What you’ll do

Evaluate AI-generated cybersecurity content, including threat analysis, vulnerability assessments, and offensive security techniques, with an emphasis on real-world accuracy and validity.
Design and solve security-focused technical problems that are used to train AI systems.
Write clear technical explanations and security-relevant code as part of the evaluation and problem-solving process.
Provide feedback that directly influences how future AI security models are improved.

What you bring

2+ years of hands-on cybersecurity experience, such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent work, including government or military cyber operations.
Some coding experience is required, including comfort navigating and patching a codebase.
Fluency in English (native or bilingual level) with strong writing skills.
Bachelor’s degree is preferred.
Cybersecurity certifications are a plus, including OSCP, CRTO, GREM, GCFA, CEH, and similar.

Remote flexibility and pay

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, using your own computer.
Competitive hourly rate: projects are paid $50 to $100 USD per hour.
Higher bonus rates: available for certain projects.

Additional notes

Payment is made via PayPal.
We will never ask for any money from you.
Availability: this contract role is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

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Today

Product Security Engineer - AI Trainer

DataAnnotation Orangeburg, SC 🇺🇸 Remote

Orangeburg, SC

Today

$50 - $100/hr Contract Ai Security Ai Security Evaluation Artificial Intelligence Security Evaluation

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Job Description

The Product Security Engineer - AI Trainer role supports the training of AI models for cybersecurity use cases by reviewing AI-generated security content and resolving security-focused technical tasks.

Role Summary

This is a contract position based in Orangeburg, SC (remote). Work is fully remote with a flexible schedule, and projects are compensated on an hourly basis.

Responsibilities

Evaluate AI-generated cybersecurity content, including threat analysis, vulnerability assessments, and offensive security techniques, with a focus on real-world accuracy and validity.
Design and solve security-focused technical problems used to train AI systems.
Produce clear technical explanations and security-relevant code as part of training outputs.
Provide feedback that directly influences the next generation of AI security models.

Requirements

2+ years of hands-on experience in a cybersecurity role, such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or closely related work, including government or military cyber operations.
Coding experience required, with comfort navigating and patching a codebase.
English fluency (native or bilingual) and strong writing skills.
Bachelor’s degree preferred.
Cybersecurity certifications are a plus, including OSCP, CRTO, GREM, GCFA, CEH, and similar credentials.

Compensation and Payment

Compensation for projects is paid hourly at USD 50 to USD 100 per hour. Higher bonus rates may be available for certain projects. Payment is made via PayPal.

Work Location and Schedule

Fully remote work is available in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible scheduling, with the ability to choose which projects to take on and when to work.
Work is performed on your own computer from your home.

Additional Notes

We will never ask for money from you.
This contract opportunity is only available to individuals in the US, Canada, UK, Ireland, Australia, and New Zealand.

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Today

Application Security Engineer - AI Trainer

DataAnnotation Stanford, CA 🇺🇸 Remote

Stanford, CA

Today

$50 - $100/hr Contract Ai Security Training Application Security Information Security

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Job Description

DataAnnotation is seeking an Application Security Engineer - AI Trainer to support the training of AI models focused on cybersecurity. This contract role combines hands-on security evaluation with technical problem solving, helping ensure AI-generated security guidance is accurate, valid, and useful.

The work centers on reviewing AI outputs related to threats, vulnerabilities, and offensive techniques, then feeding back insights that influence how the next generation of AI security model reasoning is formed.

Responsibilities

Assess AI-generated cybersecurity content for real-world accuracy and validity, including threat analysis, vulnerability assessments, and offensive security techniques.
Develop and solve security-focused technical problems used to train AI systems.
Create clear technical explanations and security-relevant code.
Provide feedback that directly contributes to improving future AI security models.

Requirements

2+ years of hands-on experience in a cybersecurity role such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent work, including government or military cyber operations.
Some coding experience is required, with comfort navigating and patching a codebase.
Fluency in English at native or bilingual level, with strong writing skills.
A bachelor’s degree is preferred.
Cybersecurity certifications are a plus, such as OSCP, CRTO, GREM, GCFA, CEH, or similar.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects to take on and when to work, using your own computer from home.
Competitive pay: projects are paid hourly at $50 to $100 USD per hour.
Higher bonus rates may be available for certain projects.
Impact: help shape AI technologies built for cybersecurity.

Additional Notes

Payment is made via PayPal.
DataAnnotation will never ask for any money from applicants.
This job is available only to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.

View full job page →

Today

Product Security Engineer - AI Trainer

DataAnnotation West Virginia 🇺🇸 Remote

West Virginia

Today

$50 - $100/hr Contract Ai Security Ai Security Content Ai Security Evaluation

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Job Description

DataAnnotation is hiring a Product Security Engineer - AI Trainer to support the training of AI models focused on cybersecurity. In this remote contract role, you will review AI-generated security material for accuracy, then help craft and solve security-related technical challenges that improve model performance. Work is paid hourly, with flexibility around which projects you take on and when you work.

Role focus

You will evaluate AI-generated cybersecurity content, including threat analysis, vulnerability assessments, and offensive security techniques, with an emphasis on real-world correctness. You will also design and resolve security-focused technical problems, contributing both practical code and clear explanations that guide the development of next-generation AI security models.

Responsibilities

Review AI-generated cybersecurity content for real-world accuracy and validity, including threat analysis, vulnerability assessments, and offensive security techniques.
Design and solve security-focused technical problems used to train AI systems.
Write clear technical explanations and security-relevant code.
Provide feedback that directly informs the next generation of AI security models.

Requirements

2+ years of hands-on experience in a cybersecurity role, such as penetration testing, red teaming, incident response, detection engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government or military cyber operations.
Some coding experience is required, with comfort navigating and patching a codebase.
Fluency in English (native or bilingual level) with strong writing skills.
A bachelor's degree is preferred.
Cybersecurity certifications are a plus, including OSCP, CRTO, GREM, GCFA, CEH, or similar.

Compensation and work model

Remote work from West Virginia (remote).
Contract position.
Paid hourly at $50 to $100 USD per hour.
Paid hourly projects available after passing a short assessment.
Higher bonus rates may be available for certain projects.

Benefits

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
Flexible schedule: choose which projects you take on and when you work, using your own computer from home.
Competitive pay with hourly rates between $50 and $100 USD.
Impact: help shape the future of AI technologies built for cybersecurity.

Additional notes

Payment is made via PayPal.
DataAnnotation will never ask for any money from you.
This role is only available to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.