AI Engineer
Houston, TX · On-site +1
Embed with teams to observe workflows, identify automation opportunities, and rapidly prototype AI ... Potential exposure to remote and high-risk environments, requiring adherence to safety protocols.
AI Engineer
Houston, TX · On-site +1
Embed with teams to observe workflows, identify automation opportunities, and rapidly prototype AI ... Potential exposure to remote and high-risk environments, requiring adherence to safety protocols.
Weather Observer Remote information
What does a weather observer remote do?
A Weather Observer Remote is responsible for monitoring and recording weather conditions from a remote location, often using specialized equipment and sensors. They collect data on temperature, humidity, wind speed, precipitation, and other atmospheric variables, and transmit this information to meteorological centers for analysis. Remote weather observers play a crucial role in providing accurate weather data, especially in areas where automated stations are not feasible. Their observations are essential for weather forecasting, climate research, and ensuring public safety.
What are the key skills and qualifications needed to thrive as a weather observer remote, and why are they important?
To excel as a Weather Observer Remote, you need a solid understanding of meteorological principles, data collection, and weather instrumentation, usually supported by relevant education or specialized training. Familiarity with weather observation software, remote sensing equipment, and data transmission systems is typically required. Strong attention to detail, reliability, and clear communication are crucial soft skills in this role. These abilities ensure accurate weather reporting and timely data delivery, which are vital for forecasting and public safety.
What are some common challenges faced by remote weather observers, and how are they typically addressed?
Remote Weather Observers often face challenges such as working independently in isolated environments and handling rapidly changing weather conditions. Maintaining accurate and timely data collection without direct support can be demanding, so strong self-motivation and attention to detail are essential. Many organizations provide robust training, regular check-ins, and remote support systems to help observers stay connected to their teams and ensure data quality. Collaboration often occurs through scheduled virtual meetings or reporting platforms, ensuring observers remain part of a broader meteorological network.
What is the difference between Weather Observer Remote vs Weather Observer?
| Aspect | Weather Observer Remote | Weather Observer |
|---|---|---|
| Credentials | Typically requires meteorology or related certifications, sometimes remote work certifications | Requires similar meteorology certifications, often on-site |
| Work Environment | Primarily remote, monitoring data and communicating with teams | On-site at weather stations or observation sites |
| Employer & Industry | Government agencies, research institutions, remote monitoring services | Weather stations, government agencies, airports |
Weather Observer Remote and Weather Observer roles share similar credentials and industry usage, but differ mainly in work environment. The remote position focuses on data monitoring and communication from afar, while the on-site Weather Observer involves direct observation at weather stations. Both roles are essential in weather data collection and serve similar employers within the meteorology industry.
What are popular job titles related to Weather Observer Remote jobs in Houston, TX?
For Weather Observer Remote jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Weather Observer Remote jobs in Houston, TX look for?
The top searched job categories for Weather Observer Remote jobs in Houston, TX are:
What cities near Houston, TX are hiring for Weather Observer Remote jobs?
Cities near Houston, TX with the most Weather Observer Remote job openings:
AI Engineer
Houston, TX • On-site, Remote
Crescent Energy
Full-time
Posted 6 days ago
Job description
Crescent is a differentiated U.S. energy company committed to delivering value through a disciplined, returns-driven growth through acquisition strategy and consistent return of capital. Our long-life, balanced portfolio combines significant cash flow from stable production with a deep, high-quality development inventory. Crescent is a top three producer in the Eagle Ford basin and a scaled operator in each of the Permian and Uinta basins. Crescent's leadership is an experienced team of investment, financial and industry professionals that combines proven investment and operating expertise. For more than a decade, Crescent and our predecessors have executed on a consistent strategy focused on cash flow, risk management and returns. Through disciplined and accretive investments, we have successfully tripled the size of our company since going public in December 2021 while maintaining a strong balance sheet.
Key Responsibilities:
- Work directly with business users across operations, engineering, finance, land, regulatory, and IT to understand day-to-day pain points and inefficiencies.
- Embed with teams to observe workflows, identify automation opportunities, and rapidly prototype AI-enabled solutions that remove manual effort and friction.
- Translate loosely defined business problems into concrete, technical solutions using GPTs, automation platforms, and custom code.
- Act as a hands-on automation partner; not a ticket-taker, owning solutions from problem definition through delivery and iteration.
- Iterate quickly based on user feedback, refining prompts, workflows, and tools to improve usability, trust, and adoption.
- Create lightweight documentation, examples, and usage patterns that allow users to confidently leverage AI tools in their daily work.
AI Engineering & GPT Enablement
- Design, build, and deploy GPT-based tools and assistants that directly augment user workflows and decision-making.
- Develop custom GPTs, prompt frameworks, and reusable components tailored to real operational and knowledge-work use cases.
- Integrate large language models via APIs into enterprise systems, data platforms, and automated workflows.
- Balance speed and experimentation with engineering rigor to deliver reliable, repeatable, production-grade solutions.
Workflow Automation & Orchestration
- Design and implement end-to-end automated workflows that combine GPTs, business rules, and enterprise data.
- Automate repetitive, manual, or cognitively heavy tasks such as document generation, summarization, validation, analysis, and reporting.
- Use Python, APIs, and workflow automation platforms to orchestrate AI-driven processes that scale beyond one-off solutions.
- Ensure automations are resilient and supportable, with appropriate error handling, logging, and basic observability.
Qualifications & Experience:
Education:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Equivalent practical experience will be considered.
Technical Skills & Experience:
- 4+ years of experience in software engineering, automation, data engineering, or adjacent technical roles.
- Hands-on experience building and deploying GPT-based solutions using OpenAI or comparable LLM platforms.
- Strong skills in prompt engineering, API integrations, and structured output design.
- Experience with Python and/or JavaScript for automation, orchestration, and integration.
- Familiarity with workflow automation platforms (e.g., UIPath, Power Automate, serverless workflows, job schedulers).
- Experience integrating AI solutions with enterprise data platforms (e.g., Snowflake or similar).
- Understanding of authentication, authorization, and secure API usage.
Skills & Competencies:
- Strong ability to partner directly with business users, quickly build trust, and deeply understand how work actually gets done.
- Equally comfortable writing code and sitting with users to map workflows, ask good questions, and iterate on solutions.
- Bias toward action and simplification. Focused on removing friction rather than adding tooling.
- Ability to move between high-level problem framing and low-level implementation details without losing momentum.
- Strong communication skills, with the ability to explain technical concepts and AI limitations in plain language.
Work Environment & Physical Requirements:
- Primarily office-based with occasional travel to field offices and operational sites as needed.
- Potential exposure to remote and high-risk environments, requiring adherence to safety protocols.
- May involve walking, climbing, bending, or handling equipment during site visits.
- Possible exposure to varied weather conditions (heat, cold, rain) while on-site at the field offices.
- Availability for emergency response and incident management, including after-hours support when required.
Crescent Energy is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, gender/pregnancy, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other legally protected status. Crescent Energy is also committed to compliance with all fair employment practices regarding citizenship and immigration status. If you require accommodation to complete the application process, please let us know by contacting recruitment@crescentenergyco.com.