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Dps Jobs in Texas (NOW HIRING)

University Health

Director, Patient Safety

San Antonio, TX · On-site

$51.92 - $110.58/hr

The DPS functions as University Health's primary resource for Patient Safety and leads efforts to develop and execute patient safety strategy and tactics. The DPS communicates routinely with ...

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Dps information

See Texas salary details

$10

$14

$17

How much do dps jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for dps in Texas is $14.72, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $16.11 per hour, depending on experience, location, and employer.

What are DPS in gaming?

DPS stands for 'Damage Per Second' and refers to both a metric and a role in many video games, especially in MMORPGs and team-based shooters. As a job role, a DPS character or player is primarily responsible for dealing high amounts of damage to enemies, helping to defeat opponents quickly. DPS roles can be specialized in ranged or melee attacks, and their effectiveness often relies on maximizing output while avoiding taking damage themselves. Teams often balance DPS with other roles like tanks and healers for overall success.

What are the key skills and qualifications needed to thrive as a Data Protection Specialist, and why are they important?

To thrive as a Data Protection Specialist, you need in-depth knowledge of data privacy laws (such as GDPR), risk assessment, and information security best practices, typically supported by a degree in IT, law, or a related field. Familiarity with data protection tools, compliance management systems, and certifications like CIPP/E or CIPM is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills are crucial for interpreting regulations and educating stakeholders. These skills ensure organizational compliance, minimize data breach risks, and build trust with clients and regulators.

What is the difference between Dps vs Security Guard?

AspectDpsSecurity Guard
Required CredentialsSecurity license, training certificationSecurity license, basic training
Work EnvironmentGovernment facilities, schools, public spacesPrivate properties, events, commercial sites
Employer & Industry UsageGovernment agencies, educational institutionsPrivate security firms, businesses
Common Search & ComparisonYesYes

While both Dps and Security Guards hold security licenses and work in protective roles, Dps typically refers to a specialized security position within government or educational institutions, often requiring additional certifications. Security Guards generally work in private settings, focusing on property and personnel protection. The main difference lies in their work environment and employer type, though their core credentials overlap.

What are some typical challenges faced by DPS (Damage Per Second) roles in a professional gaming team environment?

DPS roles in professional gaming teams often face the challenge of maintaining high performance while adapting to rapidly changing strategies and enemy tactics. Communication and coordination with support and tank roles are crucial, as DPS players must time their abilities and positioning for maximum impact. Additionally, the pressure to consistently deliver high damage output can be intense, requiring excellent mechanical skill and mental resilience. Collaborating closely with the team and staying updated on meta changes are essential for continued success and growth within this role.
What are popular job titles related to Dps jobs in Texas? For Dps jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Dps jobs in Texas look for? The top searched job categories for Dps jobs in Texas are:
What cities in Texas are hiring for Dps jobs? Cities in Texas with the most Dps job openings:
Dps jobs near you
Infographic showing various Dps job openings in Texas as of July 2026, with employment types broken down into 75% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $30,628 per year, or $14.7 per hour.
Artificial Intelligence Consultant, DPS, Austin, Tx

Artificial Intelligence Consultant, DPS, Austin, Tx

Pedigo Staffing Services

Austin, TX • Hybrid

Per diem

Posted 5 days ago

Job description

Working Title: Artificial Intelligence Engineer  
Primary Work location: 5805 N Lamar Blvd, Austin, TX 78752
Agency: Texas Department of Public Safety 
Solicitation Reference Number: 40526R0024893    
Category: Applications/Software Development
Remote Policy: Must reside within 300 miles or 3-4 hours of work location.Required to go in office at least one (1) day a month as designated by DPS.
Hours: Monday through Friday from 8:00 AM through 5:00 PM, excluding State holidays when the agency is closed. Some nights and weekends as needed.  
Visa/Contracting Type: W-2 employment with benefits. Must be US Citizen, EAD, or Green Card Holder. No H1-B's, 1099's, or Corp-to-Corp.
Job Details: 
Required/Preferred Skills: 
  • 1 year - Required, Building and deploying components of the enterprise search tool.
  • 1 year - Required, Assisting with the configuration, rollout, and documentation of the Darwin AI inventory system.
  • 1 year - Required, Supporting implementation and testing of AI agents aligned to business unit needs.
  • 1 year - Required, Developing technical controls, documentation, and processes required for AI governance adoption
Texas Department of Public Safety requires the services of 1 Artificial Intelligence/Machine Learning Engineer 1, hereafter referred to as Candidate(s), who meets the general qualifications of Artificial Intelligence/Machine Learning Engineer 1, Applications/Software Development and the specifications outlined in this document for the Texas Department of Public Safety.
All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Department of Public Safety  and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Department of Public Safety will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
The Information Technology Division requests a short term staff augmentation to support critical artificial intelligence initiatives currently underway at the Texas Department of Public Safety (DPS). The requested AI/ML Engineer will supplement existing staff capacity and provide specialized expertise necessary to meet accelerated delivery timelines for multiple enterprise level priorities.
    Services shall be provided during normal business hours unless otherwise coordinated through the Texas Department of Public Safety. Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM, excluding State holidays when the agency is closed.
    The primary work location(s) will be at Hybrid / 5805 N. Lamar Blvd, Austin, Tx 78752. The working position is Hybrid - On Site and Telework. Any and all travel, per diem, parking, and/or living expenses shall be at the Candidate's and/or Vendor's expense. Texas Department of Public Safety will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). Pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the State of Texas for travel by its classified employees, including any requirement for original receipts.
    The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through Texas Department of Public Safety.
    DPS is simultaneously advancing four major objectives:
    • Implementing an enterprise search solution to improve information retrieval across DPS systems.
    • Deploying the AI inventory and monitoring system (Darwin).
    • Developing and operationalizing various AI agents to improve internal efficiency and public facing services.
    • Establishing and enforcing AI governance to ensure compliance with cybersecurity, privacy, and statewide technology policies.