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Temporary Remote Ai Engineer Jobs (NOW HIRING)

CoreStory

AI Engineer

We're looking for an AI Engineer who is passionate about building intelligent systems that blend ... Flexible, remote-first work environment. * Opportunities to define and build the AI roadmap of a ...

Futran Tech Solutions Pvt. Ltd.

AI Engineer

Remote The Applied AI role focuses on developing, deploying, and optimizing artificial intelligence systems for real-world applications. The position bridges research and engineering by transforming ...

Chima

AI Engineer

San Francisco, CA · On-site +1

$100K - $300K/yr

Join to apply for the AI Engineer role at Chima 1 year ago Be among the first 25 applicants Join to ... Remote) San Francisco, CA $167,000.00-$185,500.00 6 days ago San Francisco, CA $130,000.00-$160,000 ...

Global Alliant Inc

AI Engineer

Columbia, MD · On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain a Public Trust Key Qualifications: * 5+ years of experience in AI/ML, Data Science, or Data ...

NTT DATA Services

Senior AI Engineer - Remote

Dallas, TX · Remote

$105K - $147K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Dallas, Texas (US-TX), United States (US). Day to Day job Duties: We are seeking an Senior AI Engineer to join our team. The ...

NTT DATA Services

Senior AI Engineer - Remote

Dallas, TX · Remote

$105K - $147K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Dallas, Texas (US-TX), United States (US). Day to Day job Duties: We are seeking an Senior AI Engineer to join our team. The ...

NTT DATA Services

Senior AI Engineer - Remote

Dallas, TX · On-site +1

$105K - $147K/yr

We are currently seeking a Senior AI Engineer - Remote to join our team in Dallas, Texas (US-TX), United States (US). Day to Day job Duties: We are seeking an Senior AI Engineer to join our team. The ...

GC AI

Applied AI Engineer

San Mateo, CA · On-site +1

$165K - $350K/yr

As our AI Engineer, you'll be the architect of systems that make this transformation possible. Your ... Location Policy This is a remote role unless you fall within the following parameters. If you live ...

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Temporary Remote Ai Engineer information

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How much do temporary remote ai engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for temporary remote ai engineer in the United States is $96,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $110,000.00 per year, depending on experience, location, and employer.

What are Temporary Remote AI Engineers?

Temporary Remote AI Engineers are professionals hired on a short-term contract to develop, implement, or maintain artificial intelligence systems while working remotely. They typically work for a set period, such as a few months, and may assist companies with specific AI projects, model training, or data analysis. Their remote setup allows organizations to access specialized AI talent without geographic limitations, making it easier to scale teams quickly for time-sensitive tasks.

What is the difference between Temporary Remote Ai Engineer vs Temporary Remote Data Scientist?

AspectTemporary Remote Ai EngineerTemporary Remote Data Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Statistics, or related; experience with data analysis tools
Work EnvironmentRemote, project-based, AI development teamsRemote, data analysis projects, research teams
Employer & Industry UsageTech companies, AI startups, R&D labsTech firms, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Temporary Remote Ai Engineers focus on developing and implementing AI models and algorithms, often requiring programming skills and knowledge of AI frameworks. Temporary Remote Data Scientists analyze data to extract insights, requiring statistical and analytical expertise. Both roles are remote, project-based, and prevalent in tech industries, but they differ in their core responsibilities and skill sets.

What are some common challenges faced by Temporary Remote AI Engineers, and how can they overcome them?

Temporary Remote AI Engineers often encounter challenges such as quickly adapting to new codebases, collaborating with distributed teams across time zones, and accessing necessary data or computing resources remotely. To overcome these, it's important to communicate proactively with team members, familiarize yourself with company documentation and tools early on, and set clear expectations about deliverables and timelines. Leveraging collaborative platforms like Slack, GitHub, or JupyterHub can also facilitate smoother workflow and integration with the team.

What are the key skills and qualifications needed to thrive as a Temporary Remote AI Engineer, and why are they important?

To thrive as a Temporary Remote AI Engineer, you need a solid background in computer science, machine learning, and programming languages like Python, often supported by a relevant degree or equivalent experience. Familiarity with AI frameworks such as TensorFlow or PyTorch, cloud platforms, and version control systems is typically required. Strong problem-solving abilities, self-motivation, and effective virtual communication are vital soft skills for remote collaboration and project delivery. These skills and qualities enable efficient development, deployment, and teamwork in a remote setting, ensuring successful project outcomes.
More about Temporary Remote Ai Engineer jobs
What cities are hiring for Temporary Remote Ai Engineer jobs? Cities with the most Temporary Remote Ai Engineer job openings:
What are the most commonly searched types of Temporary Ai Engineer jobs? The most popular types of Temporary Ai Engineer jobs are:
What states have the most Temporary Remote Ai Engineer jobs? States with the most job openings for Temporary Remote Ai Engineer jobs include:
What job categories do people searching Temporary Remote Ai Engineer jobs look for? The top searched job categories for Temporary Remote Ai Engineer jobs are:
Temporary Remote Ai Engineer jobs near you
Infographic showing various Temporary Remote Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $96,970 per year, or $46.6 per hour.

AI Engineer

CoreStory

Remote

Full-time

Re-posted 20 days ago

Job description

About CoreStory
CoreStory unlocks the hidden intelligence in your legacy code. By using AI to surface business logic and technical insights, we give enterprises the clarity to modernize faster, maintain apps smarter, and reduce the risk of costly failures.
We're looking for an AI Engineer who is passionate about building intelligent systems that blend large language models, retrieval architectures, and conversational agents into cohesive, scalable products. This role is critical to the core AI engine powering the CoreStory Platform.
Role Overview
As an AI Engineer, you'll play a central role in developing and optimizing the AI components that power CoreStory's narrative intelligence platform. You'll work across LLM integration, vector search systems, prompt orchestration, agentic systems, and retrieval-augmented generation (RAG) pipelines.
You'll collaborate closely with the product, data, and infrastructure teams to prototype, productionize, and continuously evolve our AI stack - ensuring that our systems are accurate, explainable, efficient, and on the cutting edge of modern AI capabilities.
Key Responsibilities
  • Design, implement, and optimize LLM-powered systems (e.g., RAG, chat agents, summarizers, knowledge graph integration).
  • Build and manage data indexing and retrieval pipelines using LlamaIndex, LangChain, or similar frameworks.
  • Implement and maintain vector databases (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure Cognitive Search).
  • Integrate open-source and proprietary LLMs (e.g., GPT, Claude, Llama) into the CoreStory Platform.
  • Develop and refine AI-driven features - including generative insights, automated summarization, and narrative analytics.
  • Collaborate with DevOps and backend teams to deploy scalable AI services within CoreStory's cloud infrastructure.
  • Continuously benchmark model performance, latency, and cost, identifying opportunities for optimization.
  • Stay current with advancements in AI - from model architectures to emerging frameworks - and propose innovative applications aligned with CoreStory's mission.
  • Contribute to internal documentation, experimentation frameworks, and evaluation methodologies.
Qualifications
Required Skills:
  • 7+ years of overall engineering experience with at least 3+ years of experience in AI engineering, machine learning, or applied NLP.
  • Strong hands-on experience with LlamaIndex, LangChain, or similar orchestration frameworks.
  • Experience designing and implementing vector database solutions (e.g., Pinecone, Neo4j, FAISS, Milvus, Weaviate).
  • Solid understanding of LLM APIs (OpenAI, Anthropic, Mistral, Hugging Face, etc.).
  • Proficiency in Python, with experience in libraries such as FastAPI, Pandas, or NumPy.
  • Understanding of retrieval-augmented generation (RAG) patterns, embeddings, and tokenization.
  • Familiarity with prompt engineering, tool calling, and chat agent architectures.
  • Strong problem-solving and analytical mindset, with attention to performance and scalability.
  • Demonstrated interest in staying up-to-date with the fast-evolving AI landscape.

Preferred:
  • Experience deploying AI services in production (e.g., using Docker, Azure, or AWS).
  • Exposure to LangGraph, semantic search, or hybrid RAG systems.
  • Familiarity with knowledge graphs, document intelligence, or multimodal AI.
  • Previous experience in SaaS or early-stage startup environments.
What We Offer
  • Competitive compensation and equity.
  • Flexible, remote-first work environment.
  • Opportunities to define and build the AI roadmap of a fast-growing technology company.
  • Collaborative, learning-oriented culture.
  • Access to cutting-edge AI models, research, and infrastructure.

Apply