892 Ai Data Trainer jobs in Dallas,TX

Featured Opportunity

Entry Level Sales

Spectrum - Dallas, TX

Entry Level Sales

$100,000/yr

OnsiteBilingual Preferred

New, Posted 10 hours ago

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DiversityJobs

Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

New, Posted 1 day ago

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AI Governance Operations Lead Director - RAIB

McKesson

Irving, TX 75039

~ 22 min Onsite

Degree or equivalent experience
Typically requires 12+ years of professional experience
4+ years of management experience
Proven experience designing, implementing, and scaling compliance programs for technology organizations
Strong understanding of AI laws, data protection laws and related regulatory frameworks, with the ability to translate regulatory expectations into practical enterprise workflow
AI/ML Technical Fluency
Understanding of AI/ML lifecycle, model validation, monitoring, and documentation
Familiarity with GenAI/LLM risks (hallucination, prompt injection, etc) +Knowledge of model risk management frameworks and risk‑tiering logic
Ability to influence senior stakeholders (VP/EVP level) across business units
Strong change‑leadership skills to drive adoption of governance processes

SmartExplore AI is experimental.

New, Posted 10 hours ago

DiversityJobs

Sr. Platform Product Manager, AI Platform

Gartner

Irving, TX 75039

New, Posted 12 hours ago

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Field Risk Specialist

Datascan Technologies, LLC

Dallas, TX 75201

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Candidates must be located in**Dallas, Texas**
High School diploma or GED required, college preferred
Two years or more of applicable experience in: floorplan auditing, banking/financial services, automotive, customer service, field services or related industry.
Valid driver's license with the ability to travel overnight (3 to 5 nights average of overnight travel monthly)
Basic computer literacy required
Occasional travel outside of local territory may be required from time-to-time
Lifting and moving boxes may be required from time-to-time
Verify in stock inventory by inspecting the VIN/serial number for each floorplanned inventory unit.
Meet with authorized dealership personnel to identify the disposition of missing inventory units.
Review and verify the authenticity of dealer records and other documentation associated with sold, missing and damaged inventory units.
Verify the status of MSOs and titles.
Record status information for each inventory unit in the Ai mobile audit application.
Record information about dealer visit.
Review audit results with dealer personnel.
Communicate with client representatives about audit results, dealer conditions, and risk potential.

SmartExplore AI is experimental.

Recommended

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Business Dev Mgr - Data Centers

Johnson Controls

Dallas, TX 75215

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Based in the Dallas, TX area
Bachelor's degree in Business, Marketing, Engineering, or a related field; equivalent work experience will be considered.
Minimum of 5 years of experience in business development, strategic account management, enterprise sales, or major project sales.
Proven experience selling into or working with the data center, mission-critical, construction, engineering, or industrial infrastructure markets.
Demonstrated success developing new business, building strategic relationships, and managing complex sales opportunities.
Strong understanding of account planning, solution selling, and project-based business development.
Experience engaging multiple stakeholders across owner, consultant, contractor, and technical audiences.
Excellent communication, negotiation, presentation, and relationship management skills.
Ability to travel up to 75% across the Americas.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Residential Sales Representative

Spectrum

Dallas, TX 75234

$100,000/yr

OnsiteUrgently HiringBilingual Preferred

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
High School Diploma or equivalent work experience
A valid driver's license, car insurance, a satisfactory driving record, and the use of a reliable personal vehicle
Must be able to work evenings and weekends, and as business needs dictate to maximize prospective customer contact
Ability to travel (including during inclement weather) to and from assigned territories and company facilities
Ability to read, write, speak, and understand multiple languages (English and Spanish)
Familiarity with computer operating systems and software applications as well as consumer and commercial communication devices (e.g., PDAs, smartphones, routers, modems, set-top converters, and wireless devices)

SmartExplore AI is experimental.

New, Posted 2 hours ago

ResumeLibrary

Sr. Data Engineer

McKesson

Irving, TX 75039

$141,336-$184,400/yr

New, Posted 20 hours ago

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Data Center/Chiller Technician

Trane Technologies

Fort Worth, TX 76137

~ 44 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A High School Diploma or GED equivalent is required.
5+ years of experience in HVAC providing expertise in the systems level knowledge.
Proven experience performing start‑up of air‑cooled and water‑cooled chillers, including system preparation, commissioning procedures, operational verification, and post‑start performance checks and repairs.
Proficient utilization of software to connect and check chiller operation.
EPA Certification required.
Must possess a valid driver's license for a minimum of 12 months, with no major or frequent traffic violations including, but not limited to: DUI, Hit & Run, License Suspension, Reckless / Careless Driving or multiple smaller infractions or preventable collisions in the previous 3 years.

SmartExplore AI is experimental.

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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.