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Remote Director Machine Learning Jobs in Humble, TX

Arva Intelligence

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Domain -- Prior work in agriculture, agronomy, remote sensing, climate, energy, or environmental markets. About Arva Intelligence Arva is a machine learning software-based SaaS company with offices ...

Arva Intelligence

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

Domain - Prior work in agriculture, agronomy, remote sensing, climate, energy, or environmental markets. About Arva Intelligence Arva is a machine learning software-based SaaS company with offices ...

micro1 AI

AI Trainer - Microbiology Expert

Pasadena, TX · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Conroe, TX · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Houston, TX · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

NobleAI

Solutions Engineer

Houston, TX · On-site +1

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

NobleAI

Solutions Engineer

Houston, TX · Remote

$200K - $215K/yr

By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Remote-first with Industrious co-working access at The Ion for our Houston-based emploees * 401(k) ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

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All JobsMachine Learning JobsRemote Director Machine Learning JobsRemote Director Machine Learning Jobs in Humble, TX

Remote Director Machine Learning information

See Humble, TX salary details

$31.1K

$79.4K

$121.8K

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

As of Aug 19, 2026, the average yearly pay for remote director machine learning in Humble, TX is $79,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $91,500.00 per year, depending on experience, location, and employer.

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

What are the key skills and qualifications needed to thrive as a remote director of machine learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What job categories do people searching Remote Director Machine Learning jobs in Humble, TX look for?

The top searched job categories for Remote Director Machine Learning jobs in Humble, TX are:

What cities near Humble, TX are hiring for Remote Director Machine Learning jobs?

Cities near Humble, TX with the most Remote Director Machine Learning job openings:

Remote Director Machine Learning jobs near you
Infographic showing various Remote Director Machine Learning job openings in Humble, TX as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, 1% Contract, and 1% Nights. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $79,384 per year, or $38.2 per hour.

Ex-MBB Strategy Consultant - AI Training (Remote)

Mindrift

Houston, TX • Remote

$60/hr

Part-time

Re-posted 2 days ago

Job description

Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.

Mindrift, powered by Toloka - a leading enterprise AI and machine learning data partner since 2014 - connects top domain experts with cutting-edge AI initiatives. Backed by Toloka's deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.

We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples - from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.

You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.

Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.

Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).

Who We're Looking For

Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:

  • Structuring ambiguous client problems into workable analytical plans
  • Building financial models, market analyses, or synthesized findings from messy inputs
  • Producing client-ready deliverables under time pressure
  • Forming and defending recommendations under uncertainty

No deep technical background is required - we will onboard you on the lightweight tools involved.

What You'll Do
  • Build realistic consulting project environments - create detailed project scenarios grounded in real engagement dynamics: industry context, financials, constraints, conflicting inputs, and incomplete information.
  • Design structured consulting tasks for AI agents - break projects into discrete tasks that mirror real consulting work: market sizing, commercial due diligence, cost optimization, growth strategy, operational diagnosis, benchmarking, and more.
  • Define evaluation criteria and quality standards - develop grading frameworks, evaluation rubrics, and golden-answer solutions for each task, used to train and calibrate an LLM-based grading system that evaluates AI outputs at scale.

This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.

Skills & Requirements
  • 3+ years at McKinsey, BCG, Bain, Oliver Wyman, Roland Berger, Monitor Deloitte, EY-Parthenon, Kearney, or Strategy&
  • Strong structured problem-solving and hypothesis-driven thinking
  • Ability to translate vague problems into clear analytical steps and deliverables
  • High attention to logical consistency and output quality
  • Independent, self-directed working style
  • Clear written English (B2+)
Compensation

On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted. 

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