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Prompt Data Annotation Ai Jobs in Indiana (NOW HIRING)

Software Engineer III (AI/ML) Location: Remote - EST preferred Duration: Contract - 12 months Pay ... Build and ship annotation task UIs and data-heavy internal tools using React and TypeScript.

AI Solution Orchestrator

Indianapolis, IN ยท On-site

$52.75 - $68/hr

... grounded, actionable technical requirements and prompt specifications. * Data Model ... AI Tooling Proficiency: Proficiency in the latest AI Tooling and best practices * Excellent ...

Senior Computer Vision Engineer

Newburgh, IN ยท On-site

$99K - $136K/yr

Work with other engineers to develop a working understanding of how the AI is developing * Document ... Understand and apply source control best practices for machine learning, ETL, and data annotation ...

Senior Computer Vision Engineer

Newburgh, IN ยท On-site

$99K - $136K/yr

Work with other engineers to develop a working understanding of how the AI is developing * Document ... Understand and apply source control best practices for machine learning, ETL, and data annotation ...

Data Engineer IV

Indianapolis, IN ยท On-site

$69 - $71/hr

Develop prompt engineering frameworks, AI-assisted reporting, and intelligent automation solutions. Partner with engineering and data science to integrate model outputs into dashboards and operations.

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Prompt Data Annotation Ai information

What is the difference between Prompt Data Annotation Ai vs Data Labeler?

AspectPrompt Data Annotation AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, often with AI teamsRemote or on-site, often with data teams
Industry UsageAI development, machine learning projectsData management, machine learning datasets
Job FocusAnnotating data for AI prompts and modelsLabeling data for training AI algorithms

Prompt Data Annotation Ai specialists focus on creating high-quality annotations specifically for AI prompts, ensuring models understand context. Data Labelers perform similar tasks but may work on broader datasets. Both roles require attention to detail and are vital in AI development, often overlapping but with different emphasis on prompt-specific annotation versus general data labeling.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role, such as Prompt Data Annotation AI, generally depends on the applicant's attention to detail, basic computer skills, and ability to follow instructions. Many positions are entry-level and may require minimal prior experience, with some companies providing training or onboarding. Competition can vary, but building a strong understanding of annotation tools and maintaining accuracy can improve chances of employment.

Is data annotation AI a legit company?

Data annotation AI roles are typically part of legitimate companies that provide data labeling services for machine learning. It is important to research the company's reputation, reviews, and employment practices before applying or accepting a position. Many companies in this field require attention to detail and familiarity with annotation tools or platforms.

Can you use AI to work for data annotation?

Prompt Data Annotation AI roles involve using artificial intelligence tools to label and categorize data for machine learning models. Workers typically follow guidelines, use annotation software, and may need basic understanding of AI concepts or specific tools. AI can assist in automating parts of the process, but human oversight remains essential for accuracy.

How much does an AI data annotator make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many roles are remote and may require familiarity with annotation tools and attention to detail.
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Infographic showing various Prompt Data Annotation Ai job openings in Indiana as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Software Engineer III (AI/ML)

BC Forward

Indianapolis, IN โ€ข On-site

$57 - $62/hr

Other

Posted 28 days ago


Job description

Job Title: Software Engineer III (AI/ML) Location: Remote - EST preferred Duration: Contract - 12 months Pay Range: $57/hr $62/hr (W2) Job ID: 374852 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Software Engineer III, AI/ML to join our dynamic team supporting Fundamental AI Research (FAIR) organization. The ideal candidate will have strong experience in multimodal large language models, data engineering for AI, and evaluation platforms and a proven ability to design datasets, run frontier model evaluations, and ship reliable internal tools that translate research into product impact. Responsibilities: Design human- and model-based datasets for training and evaluating multimodal LLMs across image, video, audio, and text. Run frontier model evaluations and implement common metrics to assess performance and safety. Leverage MLLMs to bootstrap, augment, and rebalance datasets at scale. Fine-tune models on labeled datasets and validate results for reproducibility. Build and ship annotation task UIs and data-heavy internal tools using React and TypeScript. Develop and operate secure data ingestion pipelines from warehouses, warm storage, and flat files. Required Skills & Qualifications: Proficiency with Python for ML workflows and data processing, including PyTorch or similar frameworks. Experience building datasets and evaluation suites for multimodal models. Hands-on experience with fine-tuning, inference, and metrics implementation for LLMs or MLLMs. Front-end development skills with React and TypeScript for annotation and internal tooling. Data engineering skills for secure, large-scale ingestion from warehouses and file-based sources. Strong analytical problem-solving abilities and collaboration with interdisciplinary teams. Experience level: 5+ years in software engineering or applied ML roles, or equivalent project experience. Preferred Skills: Experience with large-scale data platforms and orchestration tools. Background in evaluation methodology, benchmark design, and reliability engineering. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.