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Ai Alignment Jobs in Springfield, MA (NOW HIRING)

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Assess and provide structured feedback on legal texts for clarity, accuracy, and alignment with ...

New

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Assess and provide structured feedback on legal texts for clarity, accuracy, and alignment with ...

New

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Assess and provide structured feedback on legal texts for clarity, accuracy, and alignment with ...

New

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ... Assess and provide structured feedback on legal texts for clarity, accuracy, and alignment with ...

New

Review and guide solution designs to ensure alignment with AI CoE standards and enterprise architecture . Mentor and guide developers on GenAI patterns, tools, and best practices Development ...

Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk, Privacy, Security, and Audit partners. Maintain readiness for audits and regulatory review by ...

AI Engineer

Hartford, CT · On-site

$55K - $187K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing ...

... alignment with best practices Collaborate with architects and technical leads to identify and address potential risks and challenges in AI implementations Maintain documentation of architecture ...

AI Security Architect

Hartford, CT · On-site

$65.50 - $84.75/hr

Review and approve AI solution designs to ensure alignment with security, privacy, and resilience requirements * Design controls for secure data pipelines, secure model storage, controlled model ...

Drive cross-team alignment with AI engineering, product, and cloud engineering teams; communicate technical trade-offs clearly and represent platform capabilities to senior stakeholders. * Raise the ...

Technical Program Manager Gen AI

Hartford, CT · On-site

$130K - $168K/yr

... alignment with best practices Collaborate with architects and technical leads to identify and address potential risks and challenges in AI implementations Maintain documentation of architecture ...

AI Engineer

Hartford, CT · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

... aligned to enterprise standards. * Accountable for AI governance and compliance-by-design across the Claims portfolio, partnering with Legal, Compliance, Model Risk, Privacy, Security, and Audit ...

Develop and align enterprise AI architecture on OCI, with a focus on generative AI capabilities and Oracle applications * Architect and deliver integrated AI solutions, including agentic workflows ...

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Ai Alignment information

See Springfield, MA salary details

$89.2K

$99.7K

$108.1K

How much do ai alignment jobs pay per year?

As of Aug 3, 2026, the average yearly pay for ai alignment in Springfield, MA is $99,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $104,600.00 per year, depending on experience, location, and employer.

What is AI alignment?

AI alignment refers to the process of ensuring that artificial intelligence systems act in ways that are aligned with human values, intentions, and ethical standards. This field focuses on designing AI models that not only achieve their objectives but also do so safely and beneficially for humanity. As AI systems become more advanced, alignment becomes increasingly important to prevent unintended consequences or harmful behaviors. Researchers in AI alignment work on technical solutions, such as value learning and interpretability, as well as broader ethical and policy considerations.

What is the difference between Ai Alignment vs Data Scientist?

AspectAi AlignmentData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, AI development companies, tech firmsTech companies, finance, healthcare, consulting firms
Industry UsageFocuses on ensuring AI systems behave as intendedAnalyzes data to extract insights and build predictive models

While both roles involve advanced technical skills, Ai Alignment specialists focus on aligning AI systems with human values and safety, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI research environments but serve different primary objectives.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are common in top tech companies or specialized AI firms for senior or executive-level professionals.

How to become an AI alignment researcher?

To become an AI alignment researcher, typically a strong background in computer science, machine learning, or related fields is required, often including advanced degrees such as a master's or Ph.D. in these areas. Developing expertise in AI safety, ethics, and formal verification, along with programming skills in Python and familiarity with AI frameworks, is essential. Gaining research experience through academic projects, internships, or contributing to open-source initiatives can also be valuable for entering this specialized field.

What are some common challenges faced by professionals working in AI alignment roles?

Professionals in AI alignment roles often encounter the challenge of translating complex ethical principles and human values into machine-understandable objectives. Balancing technical constraints with theoretical considerations requires close collaboration with cross-functional teams, including ethicists, engineers, and product managers. Additionally, the rapidly evolving landscape of artificial intelligence demands continuous learning to stay current with new alignment techniques and research findings. Navigating these challenges can be intellectually stimulating and offers significant opportunities for interdisciplinary growth.

What are the key skills and qualifications needed to thrive as an AI Alignment Specialist, and why are they important?

To thrive as an AI Alignment Specialist, you need a strong background in computer science, mathematics, and machine learning, often evidenced by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and formal verification systems is typically required, along with understanding of AI safety principles. Analytical thinking, ethical reasoning, and effective communication are crucial soft skills for success in this role. These skills ensure that AI systems are developed safely, ethically, and in alignment with human values, which is essential for mitigating risks associated with advanced AI.

Which 3 jobs will survive AI?

AI alignment professionals, software engineers specializing in AI safety, and ethicists focused on AI governance are likely to continue being in demand as AI technology advances. These roles require specialized knowledge, critical thinking, and oversight skills that are difficult to automate. Continuous learning and expertise in AI tools and ethical frameworks are essential for these jobs to remain relevant.

What is an AI alignment?

AI alignment in the context of AI safety and ethics refers to designing and developing artificial intelligence systems so that their behaviors and outcomes align with human values and intentions. AI alignment specialists work to ensure that AI systems act reliably and safely, often using techniques like value specification, interpretability, and robustness testing. This field requires skills in machine learning, ethics, and programming, and is critical for creating beneficial and trustworthy AI systems.
What are popular job titles related to Ai Alignment jobs in Springfield, MA? For Ai Alignment jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Ai Alignment jobs in Springfield, MA look for? The top searched job categories for Ai Alignment jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Ai Alignment jobs? Cities near Springfield, MA with the most Ai Alignment job openings:

Legal Counsel - AI Trainer

micro1 AI

Springfield, MA • Remote

$140 - $350/hr

Part-time

Posted 2 days ago

New


Job description

Role Title: Laywer


Role Type: Contractor


Location: Remote


micro1 is engaging lawyers to contribute their subject-matter expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is tailored for US-based legal professionals with backgrounds at top-tier law firms, seeking to leverage their advanced skill set in a collaborative, technology-driven context.


Scope of Work

  1. Conduct comprehensive legal analysis on a variety of US law topics, providing nuanced insights and guidance.
  2. Perform in-depth legal research to support project objectives and ensure current, accurate information is utilized.
  3. Draft, review, and edit legal content, including memoranda, opinions, contracts, and other relevant documents.
  4. Assess and provide structured feedback on legal texts for clarity, accuracy, and alignment with best practices.
  5. Participate in remote, multidisciplinary collaboration to refine project deliverables and address complex legal scenarios.
  6. Contribute to content quality assurance by spotting errors, inconsistencies, or ambiguities in legal materials.
  7. Apply meticulous attention to detail to maintain exceptionally high standards in all submissions.


Preferred Qualifications

  1. Active license to practice law in the United States with strong academic credentials.
  2. Current or prior experience at a top-tier US law firm, with exposure to varied practice areas.
  3. Proven abilities in legal analysis, research, and drafting across a range of legal subjects.
  4. Exceptional written and verbal communication skills, with demonstrated experience in legal content review.
  5. Track record of successful remote collaboration and participation in multidisciplinary projects.
  6. Experience with quality assurance and rubric-based evaluation of legal documents is a plus.
  7. Demonstrated commitment to precision, accuracy, and upholding legal best practices in all work.