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Remote Prompt Engineering Jobs in Austin, TX (NOW HIRING)

Mwe

AI Solutions QA Analyst

Austin, TX · On-site +1

... ships Remote-first, technically rigorous team that takes production quality seriously WHAT YOU'LL ... Engineering, or equivalent experience Preferred: Experience testingAI-powered applications- prompt ...

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Remote Prompt Engineering information

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$17

$32

$47

How much do remote prompt engineering jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote prompt engineering in Austin, TX is $32.77, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $37.88 per hour, depending on experience, location, and employer.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI models. The role often requires skills in natural language processing, AI tools, and continuous learning to keep up with evolving technologies. Demand is driven by the growth of AI applications across various industries.
What are the most commonly searched types of Prompt Engineering jobs in Austin, TX? The most popular types of Prompt Engineering jobs in Austin, TX are:
What are popular job titles related to Remote Prompt Engineering jobs in Austin, TX? For Remote Prompt Engineering jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineering jobs in Austin, TX look for? The top searched job categories for Remote Prompt Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Prompt Engineering jobs? Cities near Austin, TX with the most Remote Prompt Engineering job openings:
Remote Prompt Engineering jobs near you
Infographic showing various Remote Prompt Engineering job openings in Austin, TX as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $68,156 per year, or $32.8 per hour.

Amazon Connect and Agentic AI Specialist, Senior Principal Consultant

TTEC Digital

Austin, TX • Remote

$140K - $190K/yr

Full-time

Posted 3 days ago

New

Job description

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.

At TTEC Digital, we coach clients to ensure their employees feel valued and fully supported because an amazing customer experience is an employee-first process. Our vision is the same: a place where employees know they can thrive.

The TTEC Digital AWS Partner Practice is comprised of more than 150 brilliant experts, has been recognized with best-in-class awards from AWS, was the first signed Amazon Connect partner globally, and has delivered more than 500 AWS customer launches that improved customer experience for more than 3.5 million conversations to date.

TTEC Digital is seeking an Amazon Connect and Agentic AI Specialist to join our team. This is a remote role based in the US.  As a key member of our delivery teams, the Amazon Connect and Agentic AI Specialist leads the design of AI-enabled capabilities in Amazon Connect contact center environments. This role works with business and technology stakeholders to define use cases, assess data and knowledge readiness, create practical AI solution architectures, and recommend a roadmap across capabilities such as authentication, NLU and intent recognition, FAQ and knowledge base experiences, agent assist, workspace automation, account inquiry, and AI-enabled self-service. The ideal candidate combines hands-on GenAI expertise with enough Amazon Connect context to design solutions that can be implemented by platform and engineering teams.

What you'll be doing:
  • Lead AI discovery and use case design workshops with business and technology stakeholders across authentication, NLU and intent recognition, FAQ and knowledge base, agent assist, workspace automation, account inquiry, and self-service capabilities.
  • Define solution architectures that leverage Amazon Connect AI capabilities, LLMs, agentic AI patterns, knowledge sources, and integration points needed for customer-facing and agent-facing experiences.
  • Evaluate the current data landscape, knowledge sources, content quality, security constraints, and integration readiness for retrieval-augmented generation and agentic AI use cases.
  • Develop an Agentic AI roadmap with clear recommendations on feasibility, implementation effort, business impact, responsible AI considerations, and dependencies.
  • Design AI-enabled customer and colleague experiences, including intent handling, confidence thresholds, escalation logic, agent-assist workflows, summarization, knowledge suggestions, and human-in-the-loop patterns.
  • Partner with Amazon Connect platform specialists to ensure AI designs can be translated into contact flows, Lex orchestration, Agent Workspace, Contact Lens, Amazon Q in Connect, reporting, and operational support models.
  • Create design documentation that clearly distinguishes Amazon Connect platform responsibilities from AI model, knowledge management, orchestration, and governance responsibilities.
  • Provide guidance on responsible AI, model behavior, safety considerations, prompt and response design, data handling, monitoring, and governance for AI-enabled contact center solutions.
Skills and experience you will bring:
  • Hands-on expertise with large language models, agentic AI patterns, prompt and response design, responsible AI frameworks, and practical AI solution architecture.
  • Experience designing GenAI or agentic AI capabilities for contact center, customer service, employee assist, or knowledge management environments.
  • Working knowledge of Amazon Connect capabilities, including contact flows, Agent Workspace, Contact Lens, reporting, Lex orchestration, and AI-enabled agent experiences.
  • Experience evaluating knowledge sources and enterprise data readiness for RAG-enabled use cases, including content quality, access controls, freshness, and governance considerations.
  • Ability to translate ambiguous business opportunities into structured AI use cases, feasibility assessments, roadmap recommendations, and implementation-ready design artifacts.
  • Understanding of customer experience design concepts such as self-service containment, authentication tolerance, escalation paths, fallback handling, and agent handoff.
  • Strong workshop facilitation skills with business stakeholders, technology teams, security, compliance, operations, and delivery leadership.
  • Ability to partner with platform, integration, data, and engineering resources to move from AI concept to implementable solution design.
Preferred experience:
  • Prior financial services, healthcare, public sector, or regulated-industry contact center implementation experience.
  • Experience with Amazon Q in Connect, Connect AI Agents, Amazon Lex, Amazon Bedrock, NLX, ACXD, or comparable AI/contact center platforms.
  • Experience with AI governance, model evaluation, monitoring, auditability, traceability, and responsible AI controls.
  • Experience with bilingual or multilingual journey design.
  • Experience developing business cases, adoption roadmaps, or implementation plans for enterprise AI initiatives.
#LI-BN1

This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.  
 
Benefits available to eligible employees include the following: 
- Medical, dental, vision
- tax-advantaged health care accounts
- financial and income protection benefits
- paid time off (PTO) and wellness time off.
 
This job posting will remain open until we have identified an adequate applicant pool. Applicants are strongly encouraged to apply early.
 
 
About Us
TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.
 
We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.
 
TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
 
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
 
#LI-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.