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Remote Machine Learning Engineer New Grad Jobs in Mathis, TX

DataAnnotation

Cloud Security Engineer

Corpus Christi, TX · Remote

$40 - $75/hr

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... engineering, DFIR, malware analysis, threat intelligence, or adjacent fields, including government ...

Varsity Tutors

Statics Tutor

Corpus Christi, TX · Remote

$40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Replit Tutor

Corpus Christi, TX · Remote

$40/hr

Emphasizes accessible development without local setup and connects Replit to learning programming ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Welo Data

AI Content Writer - Remote

Corpus Christi, TX · Remote

$14.50/hr

Alabama, Florida, Georgia, Indiana, Kansas, Kentucky ,Montana, New Hampshire, North Carolina, Ohio ... learning modules and a required quality test designed by our client before starting work. In ...

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Remote Machine Learning Engineer New Grad information

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$10.4K

$68.8K

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How much do remote machine learning engineer new grad jobs pay per year?

As of May 31, 2026, the average yearly pay for remote machine learning engineer new grad in Mathis, TX is $68,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,700.00 and $78,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer New Grad, and why are they important?

To excel as a Remote Machine Learning Engineer New Grad, you need a solid grounding in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree. Familiarity with programming languages like Python, machine learning libraries (e.g., TensorFlow, PyTorch), and experience using version control systems such as Git are essential. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this remote role. These skills ensure you can develop robust ML models, collaborate efficiently with distributed teams, and deliver impactful solutions in a dynamic environment.

What are some common challenges faced by new graduates starting as remote machine learning engineers, and how can they overcome them?

As a new graduate starting remotely as a machine learning engineer, one common challenge is effectively collaborating with team members and mentors when you can't interact in person. You may also face difficulties in accessing large datasets or compute resources, which can slow down experimentation. To overcome these challenges, it's important to communicate proactively using team channels, schedule regular check-ins with your mentor, and familiarize yourself with your company's remote infrastructure and support systems. Building a habit of documenting your work and asking for feedback early can also accelerate your learning and integration into the team.

What does a Remote Machine Learning Engineer New Grad do?

A Remote Machine Learning Engineer New Grad is an entry-level professional who designs, builds, and deploys machine learning models while working from a remote location. Their responsibilities typically include preprocessing data, developing algorithms, and collaborating with other team members through digital tools. As a new graduate, they often focus on learning industry best practices, writing code, testing models, and updating existing systems. Strong programming skills, problem-solving ability, and communication are essential for success in this role.
Remote Machine Learning Engineer New Grad jobs near you
Cloud Security Engineer

Cloud Security Engineer

DataAnnotation

Corpus Christi, TX • Remote

$40 - $75/hr

Part-time

Posted 7 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for experienced cybersecurity professionals to help advance AI development. Cybersecurity platforms are increasingly powered by AI — but these systems still need practitioners with real-world experience to validate whether the outputs actually hold up in practice. That's where you come in.

As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated security content, solving technical security problems, and providing feedback that directly shapes how these systems reason about real-world threats and defenses. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation and paid work will become available to you through our platform.

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.
  • Projects are paid hourly starting at $50-75+/hr, with bonuses for high-quality and high-volume work
  • Impact: help shape the future of AI technologies built for cybersecurity.

Responsibilities:

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

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 adjacent fields, including government or military cyber operations.
  • Some coding experience required; comfort navigating and patching a codebase is key.
  • Fluency in English (native or bilingual level) with strong writing skills.
  • A bachelor's degree is preferred.
  • Cybersecurity certifications are a plus (e.g., OSCP, CRTO, GREM, GCFA, CEH, and similar).

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

#cybersecurity