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Remote Computer Science Opt Jobs in Arlington, TX

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Nice to Have: - Master's in Computer Science, Computational Linguistics, Statistics, Machine ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

FHR

M6.20 MuleSoft Lead (100% Remote)

Dallas, TX · Remote

Phoenix, AZ (Remote) Duration: Up to 12 months, with potential for extensionOur direct client is ... Bachelor's degree in Computer Science or equivalent. * Experience: * 8+ years of programming ...

FHR

M6.20 MuleSoft Lead (100% Remote)

Dallas, TX · Remote

Phoenix, AZ (Remote) Duration: Up to 12 months, with potential for extensionOur direct client is ... Bachelor's degree in Computer Science or equivalent. * Experience: * 8+ years of programming ...

McKesson

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Bachelor's degree in Computer Science, Information Systems, or a related field, or relative ...

McKesson

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Bachelor's degree in Computer Science, Information Systems, or a related field, or relative ...

BNSF Railway

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

We are also open to sponsoring H-1B transfers, TN nonimmigrant status, and STEM OPT candidates with ... Bachelor's degree or higher in Operations Research, Computer Science, Industrial Engineering or a ...

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Remote Computer Science Opt information

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How much do remote computer science opt jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote computer science opt in Arlington, TX is $92,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $103,500.00 per year, depending on experience, location, and employer.

What is a remote computer science OPT?

Remote Computer Science OPT jobs are employment opportunities that allow international students in the U.S. on F-1 visas to work remotely in computer science-related fields during their Optional Practical Training (OPT) period. These positions can include software development, data analysis, IT support, and other technology roles that permit employees to work from locations outside of the traditional office. Such jobs help students gain practical experience in their field of study while offering flexibility in work location. It's important that the job is directly related to the student's major and meets all OPT requirements set by U.S. immigration policies.

How do remote computer science OPT professionals typically collaborate with their teams to ensure project success?

Remote Computer Science professionals often use a combination of collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello to stay connected with their teams. Regular virtual meetings, code reviews, and documentation sharing are standard practices to maintain clear communication and alignment on project goals. Adapting to asynchronous communication and being proactive in providing updates are essential to overcome the challenges of different time zones and remote work dynamics. Building strong relationships with colleagues through regular check-ins and open communication greatly contributes to successful teamwork and project outcomes.

What are the key skills and qualifications needed to thrive as a remote computer science OPT, and why are they important?

To thrive as a Remote Computer Science Opt, you need a solid background in computer science fundamentals, programming, and problem-solving, typically supported by a relevant degree or technical certification. Familiarity with version control systems (like Git), remote collaboration tools, and common programming languages such as Python or Java is essential. Strong self-motivation, effective communication, and time management skills help you stand out in a remote environment. These competencies ensure productivity, high-quality technical output, and smooth teamwork despite working from different locations.

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Sr Data Scientist GenAI

Select Minds LLC

Dallas, TX • On-site, Remote

$150K - $210K/yr

Full-time

Re-posted 29 days ago

Job description

Benefits:
  • Competitive salary
  • Flexible schedule
  • Opportunity for advancement

Sr Data Scientist (NLP / LLM / Generative AI)
Location: Dallas, TX
Roles & Responsibilities :
- Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts.
- Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation).
- Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to production-ensuring reliability, scalability, monitoring, and maintainability.
- Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection.
- Optimize models and pipelines for performance, cost, and efficiency.
- Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use.
- Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning.
- Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt.
Must-Have Qualifications:
- 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI.
- Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc.
- Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering.
- Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases.
- Experience working in production / deploying models (batch and streaming), working with MLOps practices.
- Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty.
- Good communicator: able to translate complex technical detail to business / non-technical stakeholders.
Nice to Have:
- Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field.
- Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems.
- Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks.
- Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements.
This position is temporarily remote.
Compensation: $150,000.00 - $210,000.00 per year
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

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