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Remote Machine Learning Robotics Jobs in Dallas, TX

This position is remote and requires a Secret security clearance. Maximus TCS (Technology and ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

Lead Data Scientist

Dallas, TX · On-site +1

$142.30K - $195.70K/yr

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Sr. AI Engineer

Coppell, TX · On-site +1

$96.50K - $132.50K/yr

... Machine Learning & Deep Learning - Understanding AI models, neural networks, and reinforcement ... Robotics Process Automation (RPA) - Designing AI-driven bots that execute repetitive tasks ...

Senior Software Engineer

Irving, TX · On-site +1

$117.60K - $155.10K/yr

Hybrid -- Trilogy NextGen office (3 days on-site / 2 days remote) Employment: Full-Time -- Direct ... MACHINE LEARNING & AI • Hands-on experience with ML libraries: scikit-learn, XGBoost, LightGBM ...

Experience supporting machine learning workflows or analytical data science pipelines * Knowledge of distributed computing concepts and performance tuning This is a remote position.

IT AI Solution Architect

Irving, TX · Remote

$58 - $76.50/hr

Design and implement scalable AI and machine learning solutions using AWS (including Amazon Bedrock ... This is a primarily remote position working in a home office environment, with a preference for ...

Senior Data Engineer

Fort Worth, TX · On-site +1

$70K - $120K/yr

Experience working with AI or machine learning data platforms Work Environment * Hybrid work model (Fort Worth office + remote work) * Standard business hours with occasional on-call support for data ...

Fraud Model Analyst

Farmers Branch, TX · On-site +1

$45K - $103.50K/yr

... remote work in select geographic locations, subject to approval by PNC. If approved, work must be ... machine learning to predict business outcomes. * Assists with analytical experiments in a ...

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Remote Machine Learning Robotics information

See Dallas, TX salary details

$32.1K

$63.1K

$98.4K

How much do remote machine learning robotics jobs pay per year?

As of May 29, 2026, the average yearly pay for remote machine learning robotics in Dallas, TX is $63,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $74,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

What are the most commonly searched types of Machine Learning Robotics jobs in Dallas, TX? The most popular types of Machine Learning Robotics jobs in Dallas, TX are:
What job categories do people searching Remote Machine Learning Robotics jobs in Dallas, TX look for? The top searched job categories for Remote Machine Learning Robotics jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Machine Learning Robotics jobs? Cities near Dallas, TX with the most Remote Machine Learning Robotics job openings:
Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote)

Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote)

Turnitin

Dallas, TX • On-site, Remote

$84.23K - $140.38K/yr

Full-time

Medical, PTO

Posted 11 days ago


Job description

Company Description

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are.

Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.

Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.

Job Description

The purpose of this role is to bridge the gap between complex data infrastructure and actionable business strategy. You will provide day-to-day support to Revenue Operations (RevOps), including Sales, Marketing, and Customer Experience leaders.

We are currently in an exciting transition, migrating our data workflows from Alteryx to dbt. As a BI Analyst, you will sit at the intersection of data engineering and business analysis. You aren't just a "dashboard builder"; you are an Analytics Engineer who builds robust data models in Redshift, orchestrates workflows via Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact.

Crucially, you will help us move beyond standard reporting. We are looking for someone genuinely excited about the frontier of AI and LLM capabilities, helping us integrate predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem.

Key Responsibilities and Outputs

  • Data Modeling & Migration: Lead the migration of legacy workflows from Alteryx to dbt, ensuring high-quality, documented, and tested data models that serve as a single source of truth.
  • Orchestration & Pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse.
  • Stakeholder Collaboration & Translation: Act as the primary liaison between technical data structures and non-technical leaders. You will translate complex "data speak" into clear insights that highlight ROI and business impact.
  • AI & Advanced Analytics: Actively explore and implement AI/LLM capabilities to enhance data discovery and predictive modeling. Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring.
  • RevOps Strategy: Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau.

Proven Characteristics for Success

  • The "Technical Translator": You can explain a join or a latent variable to a Sales Director in a way that makes sense for their quota.
  • Impact-Focused: You don't just deliver data; you deliver the "so what?"
  • AI Enthusiast: You stay up to date with the latest in LLMs and are constantly thinking about how to apply generative AI to analytics workflows.
  • Curiosity & Ownership: You lead with questions and take pride in the "cleanliness" and architecture of your code.
Qualifications

Essential

  • Experience: 2-3+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role.
  • dbt Expertise: Proven experience building and maintaining production-grade data models using dbt.
  • Orchestration Tools: Hands-on experience with Dagster or Airflow.
  • SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery).
  • BI Visualization: Experience building stakeholder-facing dashboards in Tableau.
  • CRM Knowledge: Familiarity with Salesforce data structures.

Preferred

  • Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt).
  • AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker).
  • Advanced Tableau: Building advanced dashboards and experience with Tableau Online/Server.
  • Data Modeling: Salesforce-specific data modeling experience.
  • Big Data: Experience dealing with large (+1M rows) customer engagement datasets.
Additional Information

The expected annual base salary range for this position is: $84,225/year to $140,375/year. This position is bonus eligible / commission-based.

Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered.

Total Rewards @ Turnitin
At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they're only part of the value you receive in exchange for your work.

Beyond compensation, you'll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You'll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates.

In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life's challenges. You'll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being.

Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.

Our Values underpin everything we do.

  • Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do.
  • Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe.
  • Integrity: Integrity is the heartbeat of Turnitin-it is the core of our products, the way we treat each other, and how we work with our customers and vendors.
  • Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it's hard.
  • One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes.
  • Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world.

Global Benefits

  • Remote First Culture
  • Health Care Coverage
  • Education Reimbursement*Competitive Paid Time Off 
  • Self-Care Days
  • National Holidays
  • 2 Founder Days + Juneteenth Observed
  • Paid Volunteer Time Off
  • Charitable Contribution Match
  • Monthly Wellness or Home Office Reimbursement
  • Access to Employee Assistance Program (mental health platform)
  • Parental Leave
  • Retirement Plan with match/contribution

Seeing Beyond the Job Ad
At Turnitin, we recognize it's unrealistic for candidates to fulfill 100% of the criteria in a job ad.  We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you're willing to learn and unleash your potential alongside us, join our team!

Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.